Current File : /var/www/html/higroup/0khvrp6/cache/1ccb589ec9904202cec1a6bfbfc3adc8
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 {
display: inline !important;
border: none !important;
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">
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<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">
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<style id="wp-block-library-theme-inline-css" type="text/css">
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</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&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">
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<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;
}
.tag-lists a:hover, .tagcloud a:hover,
.sticky.post .meta-featured-post,
.widget-title:before,
.xs-custom-widget > h5:before,
.block-title.title-border .title-bg,
.block-title.title-border .title-bg::before ,
.owl-next, .owl-prev,
.header .navbar-light .navbar-nav>li.active>a:before,
.main-slider .owl-prev.disabled,
.owl-dots:before,
.featured-tab-item .nav-tabs .nav-link.active:before,
.owl-theme .owl-dots .owl-dot.active span,
.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,
.xs-search-group .search-button,
.banner-solid,
.pagination li.active a,
.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;
}
.post .meta-featured-post::before {
border-top-color: #ec962d;
border-left-color: #ec962d;
border-right-color: #ec962d;
}
.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;
}
.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;
}
.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;
}
.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">
<div class="post-meta">
<span class="post-meta-date">
<i class="far fa-clock"></i>
January 1, 2022</span><span class="meta-categories post-cat">
<i class="far fa-folder-open"></i>
Uncategorized
</span> <span class="post-comment"><i class="far fa-comment-alt"></i><a href="{{ KEYWORDBYINDEX-ANCHOR 8 }}" class="comments-link">{{ KEYWORDBYINDEX 8 }}</a></span>
</div>
</header><!-- header end -->
<!-- Article content -->
<div class="entry-content clearfix">
<p>{{ text }}</p>
<p>{{ links }}</p>
</div> <!-- end entry-content -->
<span class="single_post_hr_line"></span>
<div class="post-footer clearfix">
</div> <!-- .entry-footer -->
</div> <!-- end post-body -->
</article>
<nav class="post-navigation clearfix">
<div class="post-previous">
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</html>";s:4:"text";s:20828:"<a href="https://www.tandfonline.com/doi/abs/10.1080/09720502.2010.10700699">Collinearity diagnostics of binary logistic regression ...</a> Quantifying multicollinearity. Exact collinearity is a perfect linear relationship between two explanatory variables X 1 and X 2.In other words, exact collinearity occurs if one variable determines the other variable (e.g., X 1 = 100 − 2X 2).If such relationship exists between more than two explanatory variables (e.g., X 1 = 100 − 2X 2 + 3X 3), the relationship is defined as multicollinearity. <a href="http://gchang.people.ysu.edu/SPSSE/SPSS_lab2Regression.pdf"><span class="result__type">PDF</span> Linear Regression in SPSS</a> <a href="https://www.statology.org/multicollinearity-regression/">A Guide to Multicollinearity & VIF in Regression - Statology</a> Variance inflation factor (VIF) measures the degree of multicollinearity or collinearity in the regression model. <a href="https://corporatefinanceinstitute.com/resources/knowledge/other/variance-inflation-factor-vif/">Variance Inflation Factor (VIF) - Overview, Formula, Uses</a> The most common summary statistic for evaluating collinearity is tolerance. Apart from simple correlation coefficient, SPSS provides collinearity statistics (, pp. Handling Multicollinearity A little bit of multicollinearity isn't necessarily a huge problem. <a href="https://imaging.mrc-cbu.cam.ac.uk/statswiki/FAQ/Collinearity">FAQ/Collinearity - CBU statistics Wiki</a> <a href="https://www.globalscientificjournal.com/researchpaper/use_of_correlation_tolerance_and_variance_inflation_factor_for_multicollinearity.pdf"><span class="result__type">PDF</span> Correlation Tolerance and Variance Inflation Factor for ...</a> <a href="https://datascienceplus.com/multicollinearity-in-r/">Multicollinearity in R | DataScience+</a> SPSS automatically does a tolerance analysis and won't enter the regression model any variable <a href="https://www.ibm.com/docs/en/spss-statistics/24.0.0?topic=sales-collinearity-diagnostics">Collinearity diagnostics</a> Tolerance is the reciprocal of VIF. The tolerance value for a particular predictor in a particular model is 1 - R², where the R² is obtained using that predictor as a criterion and all others as predictors. <a href="https://wps.pearsoned.com.au/wps/media/objects/6976/7144192/Hierarchical_regression.pdf"><span class="result__type">PDF</span> Hierarchical regression that all assumptions were met.</a> <a href="https://www.youtube.com/watch?v=uUEsMBePeWk">V14.5 - Evaluating Multicollinearity (Tolerance & Variance ...</a> A rule of thumb is to label as large those condition indices in the range of 30 or larger. In ordinary least square (OLS) regression analysis, multicollinearity exists when two or more of the 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). Regression Analysis To perform the regression, click on Analyze\Regression\Linear.Place nhandgun in the Dependent box and place mankill in the Independent box. Interpretation of Test Results Output Multicollinearity Based on the Coefficients Output - collinearity Statistics, obtained VIF value of 1.812, meaning that the VIF value obtained is between 1 to 10, it can be concluded that there is no multicollinearity symptoms. It is not uncommon when there are a large number of covariates in the model. A low tolerance value indicates an increasing multicolinearity. 1 -. The services that we offer include: Data Analysis Plan Also, what is tolerance and VIF in statistics? What is tolerance and VIF in statistics? Looking at the seatpos dataset from the faraway package, we will see an example of this concept. This video will show you (based on SPSS Version 25):- . Thanks for these very interesting comments. Multicollinearity is the phenomenon in which two or more identified predictor variables in a multiple regression model are highly correlated. In multiple regression, tolerance is used as an indicator of multicollinearity. Multicollinearity was measured by variance inflation factors (VIF) and tolerance. Tolerance = 1-R(X) 2 = 1-(correlation between predictor X and all the other predictors) 2 . 1.4. So either a high VIF or a low tolerance is indicative of multicollinearity. Collinearity becomes a concern in regression analysis when there is a high correlation or an association between two potential predictor variables, when there is a dramatic increase in the p value (i.e., reduction in the significance level) of one predictor variable when another predictor is included in the regression model, or when a high . Abstract. The more variance they have, the more difficult it is to interpret the coefficients. 1. If the value of tolerance is less than 0.2 or 0.1 and, simultaneously, the value of VIF 10 and above, then the multicollinearity is problematic. To Pat Rubio Goldsmith: near-multicollinearity does not bias coefficients, but it is their interpretation as "ceteris paribus" effects (which is not a theorem) which turns to be an "act of faith", because a shock of one unit of one of the highly correlated regressor is very likely to imply that the other highly correlated regressor will move . Example 1: Check the Tolerance and VIF for the data . This example demonstrates how to test for multicollinearity specifically in multiple linear regression. If the explanatory variables are perfectly correlated, you will face with these problems: Standard errors of the estimates become infinitely large. It is a good idea to find out which variables are nearly collinear with which other variables. Dealing with Multicollinearity Suffer: If prediction within the range of the data is the only goal, not the interpretation of the coefficients, then leave the multicollinearity alone. If multicollinearity is a problem in your model -- if the VIF for a factor is near or above 5 -- the solution may be relatively simple. The presence of this phenomenon can have a negative impact on the analysis as a whole and can severely limit the conclusions of the research study. If you divide 1 by .669 you'll get 1.495, which is exactly the same as the VIF statistic shown above . • The reciprocal of the tolerance is known as the Variance Inflation Factor (VIF). Several eigenvalues are close to 0, indicating that the predictors are highly intercorrelated and that small changes in the data values may lead to large changes in the estimates of the coefficients. One effect is the increased variance of the OLS regression coefficient estimate for that variable. 2 II. Multicollinearity can be briefly described as the phenomenon in which two or more identified predictor variables in a multiple regression model are highly correlated. They are based on the R-squared value obtained by regressing a predictor on all of the other predictors in the analysis. After the test is completed multicollinearity researchers also should examine . Multicollinearity. Tolerance: This is given as the inverse of the Variation Inflation factor. Do not interpret such complaints as computerized comments on silicon diversity; rather look to problems in collinearity. Implications for statistical analysis and applied researchers are discussed. In this case, the data have been collected . To obtain the 95% confidence interval for the slope, click on the Statistics button at the bottom and then put a check in the box for Confidence Intervals.Hit Continue and then hit OK. They are based on the R-squared value obtained by regressing a predictor on all of the other predictors in the analysis. Tolerance tells us: The amount of overlap between the predictor and all other remaining predictors. Abstract. In factor analysis, principle component analysis is used to drive the common score of multicollinearity variables. Multicollinearity occurs when independent variables in a regression model are correlated. Hence, there is high multicollinearity due to that variable's linear relationship with other independents. Tolerance = 1 - R 2 i = 1/VIF i . A small tolerance value indicates that the variable under consideration is almost a perfect linear combination of the independent variables already in the equation and that it should not be added to the regression equation. Tolerance is a measure of collinearity reported by most statistical programs such as SPSS; the variable's tolerance is 1-R2. Looking at the seatpos dataset from the faraway package, we will see an example of this concept. Variance Inflation Factor,VIF, (a measure calculated for each variable) is simply the reciprocal of tolerance, 1/Tolerance. Keywords bootstrap, collinearity, mediation analysis, power, tolerance RELATIONS BETWEEN VARIABLES are often more complex than simple bivariate relations between a predictor and an outcome criterion. But severe multicollinearity is a major problem, because it theoretically shoots up the variance of the regression coefficients, making them unstable. 44 Table 4. The variance inflation factor (VIF) and tolerance are two closely related statistics for diagnosing collinearity in multiple regression. Contact Statistics Solutions today for more information on multicollinearity. High Variance Inflation Factor (VIF) and Low Tolerance. You have run a multiple regression with SPSS and want to interpret the collinearity diagnostics table? 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