Multiple Regression Essay Example | Topics and Well Written Essays - 2500 words

Multiple Regression - Essay ExampleThey assistance in assessing the likely value of the regression coefficients in the population.Model Fit It provides a statistical screen of the models ability to predict the outcome variable and also the value of R, R2 and adjusted R2.Estimates They give the estimated coefficients of the regression mode. The visitation statistics and their significances atomic number 18 also obtained for each regression. Here T- demonstrate is used to see whether each b differences strongly from zero.Durbin Watson This test statistic tests the assumption of self-directed errors. If the value is different from value Z, then it is cause of concern. When this data is run on SPSS taking Satisfaction as dependent variable and functional, epistemological, Social, Emotional, Conditional as independent variables, we get the followers outputs.The first output is the Descriptive statistics.Descriptive StatisticsMeanStd. DeviationNSatisfaction5.13691.18900389 operatio nal5.4989.91570389Epistemic5.3492.95148389Social5.32091.27152389Emotional5.49611.04150389Conditional3.46791.01706389 This table gives the mean and standard deviation of each of the variables. This is useful for stocky of data. CorrelationsSatisfactionFunctionalEpistemicSocialEmotional ConditionalConditionalPearson CorrelationSatisfaction1.000.555.618.339.565.004Functional.5551.000.509.221.520.011Epistemic.618.5091.000.328.531.109Social.339.221.3281.000.338.148Emotional.565.520.531.3381.000.154Conditional.004.011.109.148.1541.000Sig. (1-tailed)Satisfaction..000.000.000.000.471Functional.000..000.000.000.415Epistemic.000.000..000.000.016... Once the dependent and independent variable are selected, the method for variables to enter can be selected or to be removed utilize any of the methods say stepwise, Remove, Backward or Forward. When clicked on the statistics, the estimate confidence intervals and model fit are selected and in the residuals Durbin-Watson is selected. The signific ance of each of these is as follows.Estimates They give the estimated coefficients of the regression mode. The test statistics and their significances are also obtained for each regression. Here T-test is used to see whether each b differences significantly from zero.The correlation matrix gives the Pearson correlation coefficient between every pair of variables. It also gives the one significance of each correlation. Here we observe that the correlation is significant with p