{"id":3653,"date":"2021-08-31T04:54:03","date_gmt":"2021-08-31T04:54:03","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=3653"},"modified":"2023-08-30T14:51:53","modified_gmt":"2023-08-30T14:51:53","slug":"concept-interpretation-reporting-regression-analysis-using-spss","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/concept-interpretation-reporting-regression-analysis-using-spss\/","title":{"rendered":"Regression Analysis using SPSS: Concept, Interpretation, Reporting"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3653\" class=\"elementor elementor-3653\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-nm34f2d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"nm34f2d\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-80293b9\" data-id=\"80293b9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-de8583b elementor-widget elementor-widget-heading\" data-id=\"de8583b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Regression Analysis using SPSS<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3b2c5dee elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3b2c5dee\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-595929c9\" data-id=\"595929c9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-6176fc8c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6176fc8c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-200078fe\" data-id=\"200078fe\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7d693876 elementor-widget elementor-widget-image\" data-id=\"7d693876\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1280\" height=\"720\" src=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/09\/Regression-Analysis.jpg\" class=\"attachment-full size-full wp-image-4951\" alt=\"Regression Analysis using SPSS\" srcset=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/09\/Regression-Analysis.jpg 1280w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/09\/Regression-Analysis-300x169.jpg 300w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/09\/Regression-Analysis-1024x576.jpg 1024w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/09\/Regression-Analysis-768x432.jpg 768w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-45e8a903\" data-id=\"45e8a903\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ffc2a39 elementor-widget elementor-widget-text-editor\" data-id=\"ffc2a39\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>Regression Analysis using SPSS<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed3873c elementor-widget elementor-widget-text-editor\" data-id=\"ed3873c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The tutorial guides the researchers on the concept, interpretation, and reporting Linear and Multiple Regression using SPSS.<\/p><p>Tutorials include<\/p><ol><li>Concept of Regression Analysis.<\/li><li>Differences between Correlation and Regression Analysis.<\/li><li>Regression Examples<\/li><li>Bivariate and Multiple Regression<\/li><li>Interpreting and Reporting Regression Results<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-lf3ch6z elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"lf3ch6z\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-85b149e\" data-id=\"85b149e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f1cecd6 elementor-widget elementor-widget-heading\" data-id=\"f1cecd6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Concept of Regression Analysis using SPSS\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-39c4fce\" data-id=\"39c4fce\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dba6bdb elementor-widget elementor-widget-text-editor\" data-id=\"dba6bdb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Regression technique is used to assess the strength of a relationship between one dependent and independent variable(s). It helps in predicting value of a dependent variable from one or more independent variable. Regression analysis helps in predicting how much variance is being accounted in a single response (dependent variable) by a set of independent variables.<\/p><p>\u00a0<\/p><p>This session looks into two kinds of regression<\/p><ul><li><b>Bivariate Regression<\/b><\/li><li><b>Multiple Regression<\/b><\/li><\/ul><p>Bivariate regression is similar to bivariate correlation, because both are designed for situations in which there are just two variables. Multiple regression, however, was created for cases in which there are three or more variables. The different kinds of regression are like correlation, since they are utilized to evaluate the relationship among variables. This may make you think that regression is another way to measure correlation, however there are difference in correlation and regression in their purpose, labeling of variables and the kinds of inferential tests applied.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2b58325 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2b58325\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-72d901e\" data-id=\"72d901e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f79ac96 elementor-widget elementor-widget-heading\" data-id=\"f79ac96\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Differences between Correlation and Regression Analysis\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-8bee060\" data-id=\"8bee060\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ce478e0 elementor-widget elementor-widget-text-editor\" data-id=\"ce478e0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<table width=\"1085\"><tbody><tr><td width=\"309\"><p><b>Characteristics<\/b><\/p><\/td><td width=\"318\"><p><b>Correlation<\/b><\/p><\/td><td width=\"458\"><p><b>Regression<\/b><\/p><\/td><\/tr><tr><td width=\"309\"><p><b>Purpose of Technique<\/b><\/p><\/td><td width=\"318\"><p>Association\/Connection between two variables<\/p><\/td><td width=\"458\"><p>Understanding Link i-e Prediction and Explanation<\/p><\/td><\/tr><tr><td width=\"309\"><p><b>Labels Attached<\/b><\/p><\/td><td width=\"318\"><p>No Clear labels<\/p><\/td><td width=\"458\"><p>Clear Distinction of Dependent and Independent Variable<\/p><\/td><\/tr><tr><td width=\"309\"><p><b>Inferential Tests<\/b><\/p><\/td><td width=\"318\"><p>Correlation Coefficient<\/p><\/td><td width=\"458\"><p>Regression Coefficient, Intercept, t-statistics, Change in Regression Coefficient.<\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-858511c elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"858511c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-951786b\" data-id=\"951786b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2c0869b elementor-widget elementor-widget-heading\" data-id=\"2c0869b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Regression Examples\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-f60cab9\" data-id=\"f60cab9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e4d127d elementor-widget elementor-widget-text-editor\" data-id=\"e4d127d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Following are few scenarios in which we could use Regression Analysis<\/p><ul><li>The sales manager would like to assess if sales force training results in reduction in losses. <\/li><li>The HR manager would like to know if increase in salary leads to low turnover. <\/li><li>The management would like to know if a particular leadership style helps in improving career satisfaction.<\/li><li>A manager in non-governmental organization would like to know if community hostility has an impact on project success. <\/li><li>How much of the variance in life satisfaction scores can be explained by the following set of variables: servant leadership, career satisfaction, job satisfaction, internal marketing, and role stress.?<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3975313 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3975313\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-fb2cb8e\" data-id=\"fb2cb8e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1c01dc1 elementor-widget elementor-widget-heading\" data-id=\"1c01dc1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Bivariate Regression Analysis using SPSS\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-968d028\" data-id=\"968d028\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ad1f529 elementor-widget elementor-widget-text-editor\" data-id=\"ad1f529\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The simplest of regression analysis is called <b>bivariate regression<\/b>. Two variables are involved in the bivariate regression. One is the Dependent variable that is to be predicted, the other is independent variable that explains the variance in the dependent variable. The purpose of this kind of regression can be either prediction or explanation; however, bivariate regression is most frequently used to see how well scores on the dependent variable can be predicted from data on the independent variable.<\/p><p><b>Predicting the value of a variable from one or more other variables<\/b><\/p><p>Regression analysis is used to predict the values of a dependent variable given the values of one or more independent variables by calculating a <b>regression equation<\/b>. For instance a marketing manager would like to predict If variation in sales can be explained in terms of variation in advertising expenditure?<\/p><p style=\"text-align: center;\"><b>Y<\/b><b>i<\/b><b> = <\/b><b>\u03b2<\/b><b>0<\/b><b> +<\/b><b>\u03b2<\/b><b>1<\/b><b>X<\/b><b>i<\/b><b> +<\/b><b>e<\/b><\/p><p>In case of the above scenario the equation can be modified as follows<\/p><p style=\"text-align: center;\"><b>Sales = <\/b><b>\u03b2<\/b><b>0<\/b><b> + <\/b><b>\u03b2<\/b><b>1<\/b><b>(Advertising Budget) + <\/b><b>e<\/b><\/p><p>Where<\/p><p><b>Sales<\/b> is the dependent variable that is to be predicted<\/p><p><b>\u03b2<\/b><b>0<\/b> is the regression constant, Representing a value of sales if the company indulges in no advertising.<\/p><p><b>\u03b2<\/b><b>1 <\/b>is the beta coefficient<\/p><p><b>Advertising Budget <\/b>is the value (amount) of Advertising Budget<\/p><p style=\"text-align: left;\"><b>e <\/b>represents error terms that simply speaking accounts for all other factors that account variance in the dependent variable.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-72cd06c elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"72cd06c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-0912317\" data-id=\"0912317\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3406392 elementor-widget elementor-widget-heading\" data-id=\"3406392\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Important Terms in Regression\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-e973da0\" data-id=\"e973da0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ef34c3c elementor-widget elementor-widget-text-editor\" data-id=\"ef34c3c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Regression Coefficient<\/b><\/p><ul><li>Regression coefficient is a measure of how strongly each IV (also known as predictor variable) predicts the DV.\u00a0<\/li><\/ul><p>\u00a0<b>R Values<\/b><\/p><ul><li>This is the correlation coefficient. Regression analysis would provide you with two different R values. A simple R value represents the correlation between the observed values and the predicted values (based on the regression equation obtained) of the DV. The other R values is referred to as R Square. R square shows how much variance in the dependent variable is being explained by the indepenent variable(s). For example, R Square value of 0.70 would mean that the IVs in the model can predict 70% of the variance in the DV.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4834bb9 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4834bb9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-892c622\" data-id=\"892c622\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-867ce86 elementor-widget elementor-widget-heading\" data-id=\"867ce86\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Concept of Multiple Regression\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-f5786d3\" data-id=\"f5786d3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1e65681 elementor-widget elementor-widget-text-editor\" data-id=\"1e65681\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>From a single independent variable, now we move our attention to more than one independent variable. This form of regression involves, like bivariate regression, a single dependent variable.<\/li><li>In multiple regression, however, there are two or more independent variables. Stated differently, multiple regression involves just one <i>Y <\/i>variable but two, three, or more <i>X <\/i>variables. Multiple regression is utilized when there is more than 1 independent variable.\u00a0<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-82f3bab elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"82f3bab\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b622c01\" data-id=\"b622c01\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5bf53d7 elementor-widget elementor-widget-heading\" data-id=\"5bf53d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Reporting Regression Analysis using SPSS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-afc4c87\" data-id=\"afc4c87\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-15ca25e elementor-widget elementor-widget-text-editor\" data-id=\"15ca25e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>The Problem:<\/strong><\/p><p>To investigate if Servant Leadership has a significant impact on life satisfaction.<\/p><p><strong>Hypothesis<\/strong><\/p><p><strong>H<sub>1<\/sub>:<\/strong> There is a significant impact of servant leadership on life satisfaction.<\/p><p>The hypothesis tests if servant leadership carries a significant impact on life satisfaction. The dependent variable LS was regressed on predicting variable SL to test hypothesis H<sub>1<\/sub>. SL significantly predicted LS, <em>F <\/em>(1, 219) = 83.599, p &lt; 0.001, which indicates that the SL can play a significant role in shaping LS (b = .579, <em>p <\/em>&lt; .001). These results clearly direct the positive effect of the SL. Moreover, the <em>R<sup>2 <\/sup><\/em>= .276 depicts that the model explains 27.6% of the variance in LS. The table shows the summary of the findings.<\/p><table width=\"100%\"><tbody><tr><td width=\"12%\"><p>Hypothesis<\/p><\/td><td width=\"18%\"><p>Regression Weights<\/p><\/td><td width=\"16%\"><p>Beta Coefficient<\/p><\/td><td width=\"12%\"><p>R<sup>2<\/sup><\/p><\/td><td width=\"8%\"><p>F<\/p><\/td><td width=\"9%\"><p><strong>t-value<\/strong><\/p><\/td><td width=\"9%\"><p>p-value<\/p><\/td><td width=\"12%\"><p>Hypotheses Supported<\/p><\/td><\/tr><tr><td width=\"12%\"><p>H1<\/p><\/td><td width=\"18%\"><p>SL \u2192 LS<\/p><\/td><td width=\"16%\"><p>.579<\/p><\/td><td width=\"12%\"><p>.276<\/p><\/td><td width=\"8%\"><p>83.599<\/p><\/td><td width=\"9%\"><p>\u00a0<\/p><\/td><td width=\"9%\"><p>.000<\/p><\/td><td width=\"12%\"><p>Yes<\/p><\/td><\/tr><\/tbody><\/table><p><em>Note<\/em>: *p &lt; 0.05. SL: Servant Leadership, LS: Life Satisfaction<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-76ce052 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"76ce052\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9f17d58\" data-id=\"9f17d58\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-57b6029 elementor-widget elementor-widget-heading\" data-id=\"57b6029\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Video Tutorial: How to Run Regression Analysis using SPSS?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-06cq0dx elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"06cq0dx\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-narrow\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-da37464\" data-id=\"da37464\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ee65153 elementor-widget elementor-widget-video\" data-id=\"ee65153\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=GQP47ijt4LI&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-df27694\" data-id=\"df27694\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-89a32ba elementor-widget elementor-widget-video\" data-id=\"89a32ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=tQWGuPBPD_I&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-bb5e40f\" data-id=\"bb5e40f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ee9af18 elementor-widget elementor-widget-video\" data-id=\"ee9af18\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/P1UgLhHNtHo&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0c75a7b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0c75a7b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-88e87b9\" data-id=\"88e87b9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d2912c4 elementor-widget elementor-widget-heading\" data-id=\"d2912c4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Additional SPSS Tutorials<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-53d00dbf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"53d00dbf\" data-element_type=\"section\" 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page-item-3688 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/categorical-predictor-dummy-variables-in-regression-using-spss\/\" class=\"menu-link\">Categorical Predictor\/Dummy Variables in Regression using SPSS<\/a><\/li>\n<li class=\"page_item page-item-3607 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/crosstabulation-and-chi-square-test-using-spss\/\" class=\"menu-link\">Crosstabulation and Chi-Square Test using SPSS<\/a><\/li>\n<li class=\"page_item page-item-6257 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/data-screening-and-handling-missing-data-using-spss\/\" class=\"menu-link\">Data Screening and Handling Missing Data using SPSS<\/a><\/li>\n<li class=\"page_item page-item-7418 menu-item\"><a 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Descriptive Statistics using SPSS<\/a><\/li>\n<li class=\"page_item page-item-3556 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/identifying-and-correcting-data-entry-errors-in-spss\/\" class=\"menu-link\">Identifying and Correcting Data Entry Errors in SPSS<\/a><\/li>\n<li class=\"page_item page-item-6339 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/independent-samples-t-test-using-spss\/\" class=\"menu-link\">Independent Samples T-Test using SPSS<\/a><\/li>\n<li class=\"page_item page-item-3938 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/mann-whitney-u-test-using-spss\/\" class=\"menu-link\">Mann Whitney U Test using SPSS<\/a><\/li>\n<li class=\"page_item page-item-3634 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/partial-correlation-analysis-using-spss\/\" class=\"menu-link\">Partial Correlation Analysis using SPSS<\/a><\/li>\n<li class=\"page_item page-item-3620 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/pearson-correlation-analysis-using-spss\/\" class=\"menu-link\">Pearson Correlation Analysis using SPSS<\/a><\/li>\n<li class=\"page_item page-item-3585 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/transform-continuous-variables-into-categorical-variables-in-spss\/\" class=\"menu-link\">Transform Continuous Variables into Categorical Variables using SPSS<\/a><\/li>\n<\/ul>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Regression Analysis using SPSS Regression Analysis using SPSS The tutorial guides the researchers on the concept, interpretation, and reporting Linear and Multiple Regression using SPSS. Tutorials include Concept of Regression Analysis. Differences between Correlation and Regression Analysis. Regression Examples Bivariate and Multiple Regression Interpreting and Reporting Regression Results The Concept of Regression Analysis using SPSS [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":3669,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-3653","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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