DATA ANALYSIS RELATED SUBJECT USING SPSS

Direction: Make a short report of the SPSS outputs given problem by determining which of the given independent variables are significant to predict the dependent variable, thus creating or identifying the regression equation or model. 20 points 1. The dependent variables is 1st year graduate grade point average and the predictors are the program they are in and the three GRE scores. Summarized SPSS output: Model Summary Adjusted Std. Error of Model R R Square R Square the Estimate .758 .575 562 39768 a. Predictors: (Constant), Verbal subscore of GRE, PROGRAM, Quantitative subscore of GRE, Analytic subscore of GRE ANOVA Sum of Mean Model Squares df Square F Sig. Regression 28.888 7.222 45.67 .0003 Residual 21.351 135 .158 Tota 50.239 139 a. Predictors: (Constant), Verbal subscore of GRE, PROGRAM, Quantitative subscore of GRE, Analytic subscore of GRE b. Dependent Variable: 1st year graduate gpa -- criterion variable Coefficients Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 Constant) -1.215 454 025 PROGRAM -6.561E-02 070 ..055 348 Analytic subscore of GRE 6.749E-03 001 549 000 Quantitative subscore of GRE 3.374E-03 000 456 DO0 Verbal subscore of GRE -2.353E-03 001 -.243 001 a. Dependent Variable: 1st year graduate gpa -- criterion variable