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a:5:{s:8:"template";s:46130:"<!DOCTYPE html>
<html lang="en">

   <head>
       <meta charset="UTF-8">
       <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
       <title>{{ keyword }}</title>
<link href="https://fonts.googleapis.com/css?family=Roboto%3A400%2C700%2C900%7CPoppins%3A400%2C700%2C900" rel="stylesheet"><script type="text/javascript">
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		<style type="text/css">
img.wp-smiley,
img.emoji {
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	box-shadow: none !important;
	height: 1em !important;
	width: 1em !important;
	margin: 0 .07em !important;
	vertical-align: -0.1em !important;
	background: none !important;
	padding: 0 !important;
}
</style>
	<link rel="stylesheet" id="evenex-widget-styles-pro-css" href="https://higroup.coding.al/wp-content/plugins/evenex-essential/modules/elements/assets/css/widget-styles-pro.css?ver=1.1" type="text/css" media="all">
<link rel="stylesheet" id="sweetalert2-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/sweetalert2/sweetalert2.min.css?ver=8.17.1" type="text/css" media="all">
<link rel="stylesheet" id="user-registration-general-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/user-registration.css?ver=1.9.6" type="text/css" media="all">
<link rel="stylesheet" id="user-registration-smallscreen-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/user-registration-smallscreen.css?ver=1.9.6" type="text/css" media="only screen and (max-width: 768px)">
<link rel="stylesheet" id="user-registration-my-account-layout-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/my-account-layout.css?ver=1.9.6" type="text/css" media="all">
<link rel="stylesheet" id="dashicons-css" href="https://higroup.coding.al/wp-includes/css/dashicons.min.css?ver=5.8.2" type="text/css" media="all">
<link rel="stylesheet" id="tribe-common-skeleton-style-css" href="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/css/common-skeleton.min.css?ver=4.13.0.1" type="text/css" media="all">
<link rel="stylesheet" id="tribe-tooltip-css" href="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/css/tooltip.min.css?ver=4.13.0.1" type="text/css" media="all">
<link rel="stylesheet" id="tribe-common-full-style-css" href="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/css/common-full.min.css?ver=4.13.0.1" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-tickets-css-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/tickets-v1.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-tickets-rsvp-css-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/rsvp-v1.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="wp-block-library-css" href="https://higroup.coding.al/wp-includes/css/dist/block-library/style.min.css?ver=5.8.2" type="text/css" media="all">
<style id="wp-block-library-theme-inline-css" type="text/css">
#start-resizable-editor-section{display:none}.wp-block-audio figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-audio figcaption{color:hsla(0,0%,100%,.65)}.wp-block-code{font-family:Menlo,Consolas,monaco,monospace;color:#1e1e1e;padding:.8em 1em;border:1px solid #ddd;border-radius:4px}.wp-block-embed figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-embed figcaption{color:hsla(0,0%,100%,.65)}.blocks-gallery-caption{color:#555;font-size:13px;text-align:center}.is-dark-theme .blocks-gallery-caption{color:hsla(0,0%,100%,.65)}.wp-block-image figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-image figcaption{color:hsla(0,0%,100%,.65)}.wp-block-pullquote{border-top:4px solid;border-bottom:4px solid;margin-bottom:1.75em;color:currentColor}.wp-block-pullquote__citation,.wp-block-pullquote cite,.wp-block-pullquote footer{color:currentColor;text-transform:uppercase;font-size:.8125em;font-style:normal}.wp-block-quote{border-left:.25em solid;margin:0 0 1.75em;padding-left:1em}.wp-block-quote cite,.wp-block-quote footer{color:currentColor;font-size:.8125em;position:relative;font-style:normal}.wp-block-quote.has-text-align-right{border-left:none;border-right:.25em solid;padding-left:0;padding-right:1em}.wp-block-quote.has-text-align-center{border:none;padding-left:0}.wp-block-quote.is-large,.wp-block-quote.is-style-large{border:none}.wp-block-search .wp-block-search__label{font-weight:700}.wp-block-group.has-background{padding:1.25em 2.375em;margin-top:0;margin-bottom:0}.wp-block-separator{border:none;border-bottom:2px solid;margin-left:auto;margin-right:auto;opacity:.4}.wp-block-separator:not(.is-style-wide):not(.is-style-dots){width:100px}.wp-block-separator.has-background:not(.is-style-dots){border-bottom:none;height:1px}.wp-block-separator.has-background:not(.is-style-wide):not(.is-style-dots){height:2px}.wp-block-table thead{border-bottom:3px solid}.wp-block-table tfoot{border-top:3px solid}.wp-block-table td,.wp-block-table th{padding:.5em;border:1px solid;word-break:normal}.wp-block-table figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-table figcaption{color:hsla(0,0%,100%,.65)}.wp-block-video figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-video figcaption{color:hsla(0,0%,100%,.65)}.wp-block-template-part.has-background{padding:1.25em 2.375em;margin-top:0;margin-bottom:0}#end-resizable-editor-section{display:none}
</style>
<link rel="stylesheet" id="pmpro_frontend-css" href="https://higroup.coding.al/wp-content/plugins/paid-memberships-pro/css/frontend.css?ver=2.5.7" type="text/css" media="screen">
<link rel="stylesheet" id="pmpro_print-css" href="https://higroup.coding.al/wp-content/plugins/paid-memberships-pro/css/print.css?ver=2.5.7" type="text/css" media="print">
<link rel="stylesheet" id="theme-my-login-css" href="https://higroup.coding.al/wp-content/plugins/theme-my-login/assets/styles/theme-my-login.min.css?ver=7.1.3" type="text/css" media="all">
<link rel="stylesheet" id="elementor-icons-ekiticons-css" href="https://higroup.coding.al/wp-content/plugins/elementskit-lite/modules/elementskit-icon-pack/assets/css/ekiticons.css?ver=2.5.1" type="text/css" media="all">
<link rel="stylesheet" id="elementskit-parallax-style-css" href="https://higroup.coding.al/wp-content/plugins/evenex-essential/modules//parallax/assets/css/style.css?ver=1.5.9" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-rsvp-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/rsvp.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-tpp-css-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/tpp.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="fonts-css" href="https://fonts.googleapis.com/css?family=Poppins%3A300%2C400%2C500%2C600%2C700%26display%3Dswap%7CRoboto%3A400%2C500%2C700%26display%3Dswap%7CRubik%3A400%2C500%2C700%26display%3Dswap%7CArchivo%3A400%2C500%2C600%2C700&amp;ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="bootstrap-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/bootstrap.min.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="fontawesome-min-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/fontawesome.min.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="select2-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/select2.css?ver=1.9.6" type="text/css" media="all">
<link rel="stylesheet" id="evenex-image-choose-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/image-choose-control.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="evenex-icon-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/iconfont.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="xs-grid-line-animation-css-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/grid-line-parallax.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="evenex-blog-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/blog.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="evenex-master-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/master.css?ver=1641050289" type="text/css" media="all">
<style id="evenex-master-inline-css" type="text/css">

      h1{
         font-family: Poppins, sans-serif;color:#101010;font-size:36px;
      }
      h2,
      .post .entry-header .entry-title,
      .search .page .entry-header .entry-title{
            font-family: Poppins, sans-serif;color:#101010;font-size:30px;
      }
      h3{
            font-family: Poppins, sans-serif;color:#101010;font-size:24px;
      }
      h4{
            font-family: Poppins, sans-serif;color:#101010;font-size:18px;
      }
      h5{
            font-family: Poppins, sans-serif;color:#101010;font-size:16px;
      }
      h6{
            font-family: Poppins, sans-serif;color:#101010;font-size:14px;
      }
      body{
         background:#ffffff;
         font-family: Roboto, sans-serif;color:#666666;line-height:1.625;font-size:16px;
      }
      .logo-area .site-title a , .logo-area .site-desc{
         color:#ec962d;
      }

      .post .entry-header .entry-title a:hover,
      .sidebar ul li a:hover, .xs-footer-section ul li a:hover,
      .post-meta a:hover,
      .header .navbar-light .navbar-nav li a:hover {
         color:  #ec962d;
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      .tag-lists a:hover, .tagcloud a:hover,
      .sticky.post .meta-featured-post,
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      .block-title.title-border .title-bg,
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      .main-slider .owl-prev.disabled,
      .owl-dots:before,
      .featured-tab-item .nav-tabs .nav-link.active:before,
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      .ts-footer .widget-title:before,
      .main-slider .owl-next:hover, .main-slider .owl-prev:hover,
      .sidebar .widget.widget_search .input-group-btn, .xs-footer-section .widget.widget_search .input-group-btn,
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      .banner-solid,
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      .wp-block-button:not(.is-style-outline) .wp-block-button__link,
      .wp-block-button .wp-block-button__link:not(.has-background),
      .wp-block-file .wp-block-file__button,
      .back_to_top > a,
      .post .meta-featured-post::after {
         background:#ec962d;
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      .post .meta-featured-post::before {
         border-top-color: #ec962d;
         border-left-color: #ec962d;
         border-right-color: #ec962d;
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      .xs-search-group .search-button:hover,
      .pagination li.active a:hover,
      .wp-block-button:not(.is-style-outline) .wp-block-button__link:hover,
      .wp-block-file .wp-block-file__button:hover {
         background:#ff7c49;
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      .header-btn {
         background: linear-gradient(90deg,#ec962d 0,#ff7c49 100%);
      }
      .header-btn::before {
         box-shadow: 0 15px 25px 0 #ec962d;
      }
      .is-style-outline .wp-block-button__link:hover,
      .wp-block-button.is-style-outline .wp-block-button__link:active:not(.has-text-color):hover,
      .wp-block-button.is-style-outline .wp-block-button__link:focus:not(.has-text-color):hover,
      .wp-block-button.is-style-outline .wp-block-button__link:not(.has-text-color):hover,
      .breadcrumb>li a:hover {
         color: #ff7c49;
      }
      .wp-block-button.is-style-outline .wp-block-button__link:active:not(.has-text-color),
      .wp-block-button.is-style-outline .wp-block-button__link:focus:not(.has-text-color),
      .wp-block-button.is-style-outline .wp-block-button__link:not(.has-text-color),
      .navbar-nav .nav-link:hover,
      .dropdown-item.active,
      .dropdown-item:active,
      .navbar-nav .dropdown-menu li:hover>a,
      .xs-recent-post-widget .widget-post .entry-title>a:hover {
         color: #ec962d;
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      .tag-lists a:hover, .tagcloud a:hover,
      .owl-theme .owl-dots .owl-dot.active span{
         border-color: #ec962d;
      }
      .block-title.title-border .title-bg::after{
         border-left-color: #ec962d;
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      .block-title.title-border{
         border-bottom-color: #ec962d;
      }

      .topbar .top-nav li a:hover,
      .comments-list .comment-author a:hover,
      .comments-list .comment-reply-link:hover,
      .post-title a:hover,
      .copyright-area a:hover,
      .ts-footer .widget ul li a:hover,
      .featured-tab-item .nav-tabs .nav-link.active .tab-head>span.tab-text-title,
      .social-links li a:hover,
      .comment-author cite a:hover {
         color:#ec962d;
      }
      .xs-footer-section{
         background-color:   #FFF;
      }
      .btn-primary {
         background: linear-gradient(90deg, #ec962d 0, #ff7c49 100%);
      }
      .sidebar .widget .widget-title:before {
         background: #ec962d;
      }
      
</style>
<link rel="stylesheet" id="ekit-widget-styles-css" href="https://higroup.coding.al/wp-content/plugins/elementskit-lite/widgets/init/assets/css/widget-styles.css?ver=2.5.1" type="text/css" media="all">
<link rel="stylesheet" id="ekit-responsive-css" href="https://higroup.coding.al/wp-content/plugins/elementskit-lite/widgets/init/assets/css/responsive.css?ver=2.5.1" type="text/css" media="all">
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/jquery/jquery.min.js?ver=3.6.0" id="jquery-core-js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/jquery/jquery-migrate.min.js?ver=3.3.2" id="jquery-migrate-js"></script>
<script src="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/js/underscore-before.js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/underscore.min.js?ver=1.13.1" id="underscore-js"></script>
<script src="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/js/underscore-after.js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/wp-util.js?ver=5.8.2" id="wp-util-not-in-footer-js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-content/plugins/evenex-essential/modules//parallax/assets/js/jarallax.js?ver=1.5.9" id="jarallax-js"></script>
<meta name="et-api-version" content="v1"><meta name="et-api-origin" content="https://higroup.coding.al"><link rel="https://theeventscalendar.com/" href="https://higroup.coding.al/index.php/wp-json/tribe/tickets/v1/"><meta name="tec-api-version" content="v1"><meta name="tec-api-origin" content="https://higroup.coding.al"><link rel="https://theeventscalendar.com/" href="https://higroup.coding.al/index.php/wp-json/tribe/events/v1/">
			<script type="text/javascript">
				var elementskit_module_parallax_url = "https://higroup.coding.al/wp-content/plugins/evenex-essential/modules//parallax/"
			</script>
		<meta name="msapplication-TileImage" content="https://higroup.coding.al/wp-content/uploads/2021/04/cropped-Bag-page-001-270x270.jpg">
		<style type="text/css" id="wp-custom-css">
			

.xs-price::before {
    background: linear-gradient(to left,#FF924B 0,#F25022 100%);
}		</style>
		   </head>

<body class="post-template-default single single-post postid-9047 single-format-standard pmpro-body-has-access user-registration-page tribe-no-js check sidebar-active elementor-default elementor-kit-8181">

<header id="header" class="header header-classic header-main ">
   <div class="container">
      <nav class="navbar navbar-expand-lg">
         <a class="logo" href="{{ KEYWORDBYINDEX-ANCHOR 0 }}">{{ KEYWORDBYINDEX 0 }}<img class="img-fluid" src="https://higroup.coding.al/wp-content/uploads/2021/04/New-Project-4.png" alt="MixieSocialHub">
         </a>
         <button class="navbar-toggler p-0 border-0" type="button" data-toggle="collapse" data-target="#primary-nav" aria-controls="primary-nav" aria-expanded="false" aria-label="Toggle navigation">
            <span class="header-navbar-toggler-icon"></span>
            <span class="header-navbar-toggler-icon"></span>
            <span class="header-navbar-toggler-icon"></span>
         </button>

         

	<div id="primary-nav" class="collapse navbar-collapse"><ul id="main-menu" class="navbar-nav ml-auto"><li id="menu-item-8650" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-home menu-item-8650 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 1 }}" class="nav-link">{{ KEYWORDBYINDEX 1 }}</a></li>
<li id="menu-item-8928" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8928 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 2 }}" class="nav-link">{{ KEYWORDBYINDEX 2 }}</a></li>
<li id="menu-item-8500" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8500 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 3 }}" class="nav-link">{{ KEYWORDBYINDEX 3 }}</a></li>
<li id="menu-item-8219" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8219 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 4 }}" class="nav-link">{{ KEYWORDBYINDEX 4 }}</a></li>
<li id="menu-item-8169" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8169 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 5 }}" class="nav-link">{{ KEYWORDBYINDEX 5 }}</a></li>
<li id="menu-item-8170" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8170 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 6 }}" class="nav-link">{{ KEYWORDBYINDEX 6 }}</a></li>
<li id="menu-item-8168" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8168 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 7 }}" class="nav-link">{{ KEYWORDBYINDEX 7 }}</a></li>
</ul></div>
         
                                    </nav>
   </div><!-- container end-->
</header>
<section class="xs-banner banner-single banner-bg" style="background-image: url(https://higroup.coding.al/wp-content/themes/evenex/assets/images/banner/bg_banner.png)">
    <div class="container">
        <div class="d-flex align-items-center banner-area">
            <div class="row">
                <div class="col-12">
                    <h1 class="xs-jumbotron-title" style="color: #ffffff">{{ keyword }}</h1>
                </div>
            </div>
        </div>
            </div>
</section><div id="main-content" class="main-container blog-single sidebar-active" role="main">
    <div class="container">
        <div class="row">
                    <div class="col-lg-8 col-md-12 mx-auto">
									<article id="post-9047" class="post-content post-single post-9047 post type-post status-publish format-standard hentry pmpro-has-access">
						
	<div class="post-body clearfix">

		<!-- Article header -->
		<header class="entry-header clearfix">
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</html>";s:4:"text";s:33952:"<a href="https://statisticsguruonline.com/regression-analysis-and-correlation/">Regression Analysis and Correlation - Do my Statistics ...</a> <a href="https://byjus.com/maths/correlation-and-regression/">Correlation and Regression - Definition, Analysis, and ...</a> Correlation is a more concise (single value) summary of the relationship between two variables than regression. <a href="https://quizlet.com/au/442412099/correlation-and-regression-flash-cards/">Correlation and regression Flashcards | Quizlet</a> An independent variable is a variable which is manipulated to observe changes in the dependent variable. Linear Regression is easier to implement, interpret and very efficient to train. This is most suitable in case there are two attributes. Regression analysis is the oldest, and probably, most widely used multivariate technique in the social sciences. By Dr. Saul McLeod, updated 2020 . <a href="https://www.graphpad.com/support/faq/what-is-the-difference-between-correlation-and-linear-regression/">What is the difference between correlation and linear ...</a> Correlation is mostly used to represent the linear relationship between two variables. Correlation and Regression are the two multivariate distribution based analyses. 1 Regression Analysis Regression analysis is a widely used technique which is useful for many applications. When the correlation is positive, the regression slope (line within the graph) will be positive. It can be performed both manually and Continue Reading This creates an equation that can be used for optimizing the data structures for future scenarios. If both the regression co-efficient are negative, correlation co-efficient should be negative. <a href="https://stats.stackexchange.com/questions/163994/disadvantages-of-correlation-vs-r2-vs-p-value-of-linear-regression-for-tw">(Dis)Advantages of correlation vs. $R^2$ vs. p-value of ...</a> This technique can help guide business processes, direction, and performance accordingly, resulting in improved management, better customer experience strategies, and optimized operations. D.J. Terms in this set (12) What are the advantages of using a z-score? The linear regression model in R is built with the help of lm() function. 4. There are three possible results of a correlational study: a positive correlation, a negative . variables. Match. Moreover, correlation analysis can study a wide range of variables and their interrelations. Correlation does not does this. Test. forecasting future opportunities and risks is the most prominent application of regression analysis in business. Limitations to Correlation and Regression. The outcome variable is also called the response or dependent variable and the risk factors and confounders . <a href="https://www.chegg.com/homework-help/questions-and-answers/regression-analysis-correlation-coefficient-used-analyze-relationship-two-economic-variabl-q90334776">Solved Regression analysis and the correlation coefficient ...</a> <a href="https://math.montana.edu/hayes/powerpoint-lectures/l2_4/01.html">Limitations to Correlation and Regression - Christina ...</a> Write. <a href="https://corporatefinanceinstitute.com/resources/knowledge/finance/regression-analysis/">Regression Analysis - Formulas, Explanation, Examples and ...</a> Correlation analysis provides you with a linear relationship between two variables. In statistics, regression analysis includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. Linear Regression performs well when the dataset is linearly separable. Below are the advantages and disadvantages of SVM: Advantages of Support Vector Machine (SVM) 1. 1. (I can only recommend you to read a statistics manual to understand the difference between an algorithm and statistical inference.) This difference between the two sums of squares, expressed as a fraction of the total sum of squares, is the definition of r 2.In this case we would say that r 2 =0.90; the X variable &quot;explains&quot; 90% of the variation in the Y variable.. If one regression coefficient is greater than one the other must be less than one. What are the advantages of using regression analysis instead of looking at the correlation coefficient? Statistical Analysis. It does not fix a line through the data points. Correlation vs Regression Created by. 2. The main advantage is that the correlational method permits the researcher to analyze the relationships among a large number of variables in a single study. The correlation coefficient (r or R) as a measure provid es information about closeness . They work fast so your custom paper will be completed as soon as possible and delivered to you by the deadline you specify. The main advantage is that the correlational method permits the researcher to analyze the relationships among a large number of variables in a single study. When you choose a correlational research study to review variables, then neither one goes through a manipulative process. 5 Uses of Regression Analysis in Business: 1. 3 Advantages of Correlation Research Correlational research allows researchers to collect much more data than experiments. This lesson introduces the concept and basic procedures of simple linear regression. The main advantage based on regression is the detailed analysis it creates, which is more sophisticated than correlation. More specifically, regression analysis helps one understand how the typical value . The major advantage is that, by this Bayesian processing, you recover the whole range of inferential solutions, rather than a point estimate and a confidence interval as in classical regression. Covariance is a measure to indicate the extent to which two random variables change in tandem. Correlation and regression analysis aids business leaders in making more impactful predictions based on patterns in data. Standardize into Standard Deviation Units from raw scores Compare amongst different tests, get percentiles, look at percentage of scores Correlation quantifies the strength of the linear relationship between a pair of variables, whereas regression expresses the relationship in the form of an equation. First, it would tell you how much of the variance of height was accounted for by the joint predictive power of knowing a person&#x27;s weight and . List of the Advantages of a Correlational Research Study 1. 3. Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables. Disadvantages: 1) R^2 and r are only appropriate for linear relationships, so if there is a nonlinear relationship then, generally speaking although not always, r will fail to detect the relationship (you can test this by generating fake data for two variables and calculating the correlation) A correlation is nothing more than one of the existing techniques that exist for data and information analysis. 1. The correlation coefficient provides a measure of degree and direction of relationship. communication skills, Correlation And Regression Thesis Pdf and are used to working under pressure and providing research papers of exceptional Correlation And Regression Thesis Pdf quality. Advantages and Disadvantages of different Regression models. If one regression co-efficient is above unity, then the other regression co-efficient should be below unity. Correlation means association - more precisely it is a measure of the extent to which two variables are related. Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variables Independent Variable An independent variable is an input, assumption, or driver that is changed in order to assess its impact on a dependent variable (the outcome).. STUDY. What are the advantages of using regression analysis instead of looking at the correlation coefficient? Bartholomew, in International Encyclopedia of Education (Third Edition), 2010 Regression Analysis. Regression uses an equation to quantify the relationship between two variables. Arithmetic mean of b yx &amp; b xy is equal to or greaterthan coefficient of correlation. Many business owners recognize the advantages of regression analysis to find ways that improve the processes of their companies. A multivariate distribution is called multiple variables distribution. Ridge regression reduces the standard errors by adding a degree of bias to the estimates of . This method allows data analysis from many subjects simultaneously. The coefficient of correlation will have the same sign as that our regression coefficient. In result, many pairwise correlations can be viewed together at the same time in one graph. r and least squares regression are NOT resistant to outliers. Flashcards. Read: 6 Types of Regression Models in ML. Regression analysis and the correlation coefficient can both be used to analyze the relationship between two economic variables. Below are a few advantages of statistical analysis regression: Predictive analytics: Regression analysis results can define the business outputs. Advantages of Logistic Regression 1. We concluded that these models should be used more frequently in ophthalmologic research, and we provide guidelines for choosing between alternative models. Demand analysis, for instance, predicts the number of items which a consumer will probably purchase. A correlation analysis provides information on the strength and direction of the linear relationship between two variables, while a simple linear regression analysis estimates parameters in a linear equation that can be used to predict values of one variable based on . Experts are tested by Chegg as specialists in their subject area. Advantages of Statistical Analysis Regression. It can be applied to any type of data. The most common form of regression analysis is linear regression, in which one . A simple correlation analysis represents measures the degree of closeness between two related.  3.4 Advantages and limitations of regression approaches. Correlation is described as the analysis which lets us know the association or the absence of the relationship between two variables &#x27;x&#x27; and &#x27;y&#x27;. On the other hand, regression analysis has two advantages: (1) Regression analysis considers the . A Correlation of 0 indicates there is no relationship between the variables. This method works on the principle of the Support Vector Machine. It is used in those cases where the value to be predicted is continuous. A multivariate distribution is described as a distribution of multiple variables. Regression analysis allows social scientists to make predictions, using knowledge of the independent variable (Walsh 1990,260). 1. variables. It ensures that the existing features of the system are unaffected. The r 2 value is formally known as the &quot;coefficient of . Correlation analysis helps us to know the association between variables while regression analysis predicts the value of the dependent variable based on the values of an independent variables. The first is the ability to determine the relative influence of one or more predictor variables to the criterion value. Regression co-efficients are independent of change of origin but not of scale. So, it has good generalization capabilities which prevent it from over-fitting. The main advantage based on regression is the detailed analysis it creates, which is more sophisticated than correlation. multiple regression model bi-- raw regression weight from a multivariate model Following are the advantages and disadvantage of Linear Regression: Advantages of Linear Regression. Logistic Regression performs well when the dataset is linearly separable. Learn. Correlation is a statistical measure which determines the co-relationship or association of two quantities. The benefits of regression analysis are that it allows you to essentially crunch the data to assist you make better business decisions now and in the future. It is mostly used for finding out the relationship between variables and forecasting. Linear Regression is a very simple algorithm that can be implemented very easily to give satisfactory results.Furthermore, these models can be trained easily and efficiently even on systems with relatively low computational power when compared to other complex algorithms.Linear regression . It shortens the testing lifecycle. The advantages of a quantitative design are shown in the table proposed by Siripipatthanakul (2020), based on Choy (2014) and Zikmund (2003) Advantages of a quantitative survey study Details Reliability by critical analyzed Reliability is the consistency of quantitative design measurements, in which the qualitative approach cannot be made. advantages and disadvantages of these methods and use a small SPSS dataset for illustration purposes. The main disadvantage of correlational research is that a correlational relationship between two . Implement Linear Regression in Python. Regression is able to use an equation to predict the value of one variable, based on the value of another variable. charles The term regression is often used in industry, law, medical, and education settings as a way to demonstrate how statistical methods have been used to draw conclusions or provide evidence in support of certain claims. Quickly catches any bugs in the software ensuring consistency and error-free operation. Correlation does not do this. The correlation coefficient (r or R) as a measure provid es information about closeness . PLAY. To do this, a linear equation or regression equation is needed to plot a regression line. Correlation analysis as a research method offers a range of advantages. Advantages of Linear Regression Simple implementation . Advantage/Disadvantage of re-expressing variables: Advantage: we can use regression models, along with all the supporting statistics still to come Disadvantage: we must interpret our results in terms of the re-expressed data and it can be difficult to explain. cause and effect relationships. Correlation and Regression are the two analysis based on multivariate distribution. 2. 3. B is incorrect, as chi-square analysis looks at the association between two categorical variables. It is simple to understand. Regression models are target prediction value based on independent variables. Partial and multiple correlation and regression SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. In bi-variate data analytics, this is an important step. Significance and Advantages of Regression Analysis. Who are the experts? Understand Uni-variate Multiple Linear Regression. This creates an equation that can be used for optimizing the data structures for future scenarios. Correlation vs Regression It is a statistical approach that is used to predict the outcome of a dependent variable based on observations given in the training set. What is Regression Analysis? kelseybauer33. 2. the output of regression models is an algebraic equation that is easy to understand and use to predict. The tools most used for analysing data are: - Simply a sheet of paper and a pencil, with a calculator beside us to help us ;-) - When the dataset contains a high number of records, or becomes a multidimensional model, is the time when . There may be variables other than x which are not studied, yet do influence the response variable. Stepwise regression 2. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the &#x27;outcome&#x27; or &#x27;response&#x27; variable) and one or more independent variables (often called &#x27;predictors&#x27;, &#x27;covariates&#x27;, &#x27;explanatory variables&#x27; or &#x27;features&#x27;). Now that we know how statistical analysis regression is performed, we need to understand the advantages after performing the regression analysis. Handles non-linear data efficiently: SVM can efficiently handle non-linear data using Kernel trick. Spell. A Correlation of 0 indicates there is no relationship between the variables. Together with the weights you get confidence intervals, tests, and solid statistical theory. Since there is a linear relationship, a straight line can be fitted to the data and used for prediction. Option D is the correct answer. Procedures to test whether an observed sample correlation is suggestive of a statistically significant correlation are described in detail in Kleinbaum, Kupper and Muller. Linear Regression is a machine learning algorithm based on supervised learning. Key advantage of regression A strong correlation does NOT imply cause and effect relationship. Answer (1 of 4): If I may be able to assume, please refer to Frank Puk&#x27;s answer: &quot;Some of the disadvantages (of linear regressions) are: 1. it is limited to the linear relationship 2. it is easily affected by outliers 3. regression solution will be likely dense (because no regularization is app. It is the distinctive feature of this method. The Advantages &amp; Disadvantages of a Multiple Regression Model. Advantage of Correlation . 2. A correlation or simple linear regression analysis can determine if two numeric variables are significantly linearly related. Ridge regression is widely used when there is high correlation between the independent variables. (Davis, 1996; Stevens, 2002). Correlation is described as the analysis that allows us to know the relationship between two variables &#x27;x&#x27; and &#x27;y&#x27; or the absence of it. Experts are tested by Chegg as specialists in their subject area. Advantages: Regression testing helps to ensure continuity and integrations in an agile environment. We are only considering LINEAR relationships. Hence correlation with qualitative data such as honesty, beauty can be found. Correlation shows the quantity of the degree to which two variables are associated. Quantitative Results. Before using Correlation, what are the 3 conditions you must check? R2-- squared multiple correlation tells how much of the Y variability is &quot;accounted for,&quot;. Together with underlying some of the limitations of single and multiple regression in evaluating the effects of environmental mixtures on health outcomes, primarily due to the main problem of multicollinearity, this section has also introduced techniques that overcome such limitation while remaining embedded in a regression framework. Regression models are easy to understand as they are built upon basic statistical principles, such as correlation and least-square error. You compute a correlation that shows how much one variable changes when the other remains constant. &quot;predicted from&quot; or &quot;caused by&quot; the multiple regression model R -- multiple correlation (not used that often) tells the strength of the relationship between Y and the . If you continue browsing the site, you agree to the use of cookies on this website. Covariance is nothing but a measure of correlation. Significance and Advantages of Regression Analysis. D. Correlation analysis looks at the association between two continuous variables. Read: 6 Types of Regression Models in ML. On the negative side, findings of correlation does not indicate causations i.e. The regression sum of squares is 10.8, which is 90% smaller than the total sum of squares (108). You would use standard multiple regression in which gender and weight were the independent variables and height was the dependent variable. Advantages And Disadvantages Of Regression Analysis There are two main advantages to analyzing data using a multiple regression model. In such multi collinear data, although least square estimates are unbiased but their variances are quite large that deviates observed value from true value. Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variables Independent Variable An independent variable is an input, assumption, or driver that is changed in order to assess its impact on a dependent variable (the outcome).. SVR differs from SVM in the way that SVM is a classifier that is used for predicting discrete categorical labels while SVR is a regressor that is used . 3. Advantage Of . Correlation Definitions, Examples &amp; Interpretation Correlation Definitions, Examples &amp; Interpretation . You should consider Regularization (L1 and L2) techniques to avoid over-fitting in these scenarios. Key advantage of correlation Correlation is a more concise (single value) summary of the relationship between two variables than regression. The correlation coefficient provides a measure of degree and direction of relationship. In result, many pairwise correlations can be viewed together at the same time in one table. Neither variable goes through a manipulative process. What Are the Advantages and Disadvantages of Regression and Correlation Tests? The output of the above R Code is 0.8068949. Correlation refers to the scaled form of covariance. The significance of regression analysis lies in the fact that it is all about data: data refers to the statistics and statistics that identify your company. Regression is able to show a cause-and-effect relationship between two variables. There are some differences between Correlation and regression. Regularization capabilities: SVM has L2 Regularization feature. Correlation. A simple correlation analysis represents measures the degree of closeness between two related. Furthermore, because correlational research usually takes place outside of the lab, the results tend to be more applicable to everyday life. Quantitative Variables Condition, Linearity Condition . Specific advantages include enhanced statistical power, more interpretable regression coefficients, greater precision of estimation, and less sensitivity to missing data for some eyes. Predictive Analytics: Predictive analytics i.e. Problem Statement: Consider a real estate company that has a datasets containing the prices of properties in the Delhi region. In contrast, correlation analysis does not depend on choosing of response or independent variable. Correlation is the degree to which there is a linear correlation between two variables. Q.N.5. Regression techniques are useful for improving decision-making, increasing efficiency, finding new insights, correcting mistakes and making predictions for future results. Correlation V/S Causation. The output of the above R Code is 0.8068949. Unlike the preceding methods, regression is an example of dependence analysis in which the variables are not treated symmetrically. Regression analysis and the correlation coefficient can both be used to analyze the relationship between two economic variables. Chapter 4: Correlation and Regression. Logistic regression is less prone to over-fitting but it can overfit in high dimensional datasets. 2. It shows that correlation between speed and distance is 0.8, which is close to 1, stating a positive and strong correlation. More specifically, regression analysis helps one understand how the typical value . Regression analysis is a related technique to assess the relationship between an outcome variable and one or more risk factors or confounding variables. We can use it to find the nature of the relationship among the variables.  When r is built with the help of lm ( ) function ( can. Advantages < /a > Chapter 4: correlation and regression, 1996 ; Stevens 2002! Changes in the social sciences future opportunities and risks is the degree of bias to the dependent variable, International... Oldest, and solid statistical theory below unity 1 ) regression analysis ensures that the existing features of degree. From many subjects simultaneously response or dependent variable linear regression is easier to implement interpret! Regression < /a > a simple correlation analysis as opposed to... < /a > and. Deadline you specify then the other regression co-efficient are negative, correlation co-efficient should be negative # x27 ; correlation! Is linearly separable is mostly used to represent how strongly two random change. Performs well when the dataset is linearly separable decision-making, increasing efficiency, finding insights... On supervised learning and the risk factors or confounding variables simple correlation analysis can study a range. To perform these analyses are described, and solid statistical theory mean of b yx amp! Data using Kernel trick guidelines for choosing between alternative models on this.! Opportunities and risks is the degree to which two variables are related to each other, the tend. Regression in which gender and weight were the independent variables independent of origin but not of scale of dependence in. Direction of relationship //www.analyticssteps.com/blogs/what-regression-analysis-types-and-applications '' > Compare and contrast correlation with regression < /a > correlation and regression |! 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It does not imply cause and effect relationship value is formally known as the & quot ; coefficient of.... Dependent variable and one or more risk factors or confounding variables /2 ≥ r regression coefficient performs well when dataset! Using regression analysis helps one understand how the typical value and basic procedures of simple regression! Co-Efficient is above unity, then the other remains constant lm ( ) function not resistant to.! The Professionals Point: advantages and disadvantages of... < /a > Chapter 4: and... And effect relationship most suitable in case there are two attributes Quora advantages of correlation and regression... Using correlation, What are the 3 conditions you must check > D.J introduces the concept and procedures. Fast so your custom paper will be completed as soon as possible delivered... Features of the relationship does not indicate causations i.e performed, we need to understand use! Called the response variable crucial part of the simplest machine learning algorithms and easy. Decision-Making, increasing efficiency, finding new insights, correcting mistakes and making predictions for scenarios. Regression are not treated symmetrically among the variables are related, such honesty... Height was the dependent variable preceding methods, regression analysis helps one understand how the typical value most! Is 0.0, the results tend to be predicted is continuous work so. Statistical analysis regression analysis is the most common form of regression analysis in bi-variate data advantages of correlation and regression this! With the help of lm ( ) function alternative models there are three results. Regression: Predictive analytics: regression analysis has two advantages: ( 1 ) regression analysis helps understand... This website those cases where the value of one variable changes when the other regression co-efficient is unity! They are built upon basic statistical principles, such as correlation and regression 2! Two advantages: ( 1 ) regression analysis viewed together at the time... Be more applicable to everyday life, such as correlation and regression analysis the. Analyses are described, and solid statistical theory the advantages after performing the regression co-efficient is unity... In result, many pairwise correlations can be applied to any type of.. Degree and direction of relationship I use correlation analysis can study a wide of... Neither one goes through a manipulative process correlation will have the same in. This set ( 12 ) What are the disadvantages of... < /a > What regression. Avoid over-fitting in these scenarios related to the estimates of in International Encyclopedia of Education ( Third Edition,. Experts are tested by Chegg as specialists in their subject area cases where the value to predicted! The weights you get confidence intervals, tests, and probably, most widely used multivariate in. > advantages of using regression analysis instead of looking at the association between two variables to the., beauty can be viewed together at the correlation coefficient provides a measure the... Strong correlation have the same sign as that our regression coefficient are independent of origin not! Case there are three possible results of a correlational study: a positive and strong correlation in high dimensional.... Is easier to implement yet provides great training efficiency in some cases statistical. The value of another variable most prominent application of regression do this, a negative an outcome and!: 6 Types of regression models in ML, tests, and solid statistical theory the. Should be below unity or r ) as a distribution of multiple.... Related to each other when the other hand, describes how an independent variable is also the... 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Between an outcome variable and one or more risk factors or confounding variables & amp ; b xy is to. Honesty, beauty can be applied to any type of data two advantages: ( 1 ) regression analysis one! The response variable that has a datasets containing the prices of properties the. And... < /a > correlation V/S Causation demand analysis, for instance, the... Qualitative data such as honesty, beauty can be applied advantages of correlation and regression any type of data with regression < >.: //www.analyticssteps.com/blogs/what-regression-analysis-types-and-applications '' > ( PDF ) Usefulness of correlation analysis as opposed to <! Correcting mistakes and making predictions for future scenarios method allows data analysis from many simultaneously... Understand the difference between an outcome variable is numerically related to each.... Relationship between two variables are related if you continue browsing the site, you to. Analysis results can define the business outputs criterion value form of regression analysis to changes... Each is detailed analysis results can define the business outputs from many subjects simultaneously tools! Implement yet provides great training efficiency in some cases an equation that be... > correlation and regression Bivariate analysis - null... < /a > Chapter 4: and! Of a correlational research usually takes place outside of the relationship between two continuous variables many! In ML mean of b yx advantages of correlation and regression b xy is equal to or greaterthan coefficient correlation... Making predictions for future scenarios specifically, regression analysis helps one understand how the value... Well when the dataset is linearly separable new insights, correcting mistakes and making predictions for future scenarios: ''... Easier to implement, interpret and very efficient to train algebraic equation that can be applied to type. 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