Is there a combination of positive evaluation of institution, major, facilities and social life that predicts current GPA? Offer an explanation of of why your results might be what they are

- 85 Mutate Regression file Number /DESCRIPTIVES MEAN STODEV CORR BIG N /MISSING LISTWISE M Correlations Variables Entered/Removed" Coefficients THET OUTS R ANOVA /STATISTICS COEFF OU positive Model Entered Variables /CRITERIA-PIN (. 05) POUT ( , 10) ovaluati Method Unstandardized Coefficients ailities positive life clients re eval, Enter Model B Sad. Error /DEPENDENT currypa Pearson Correlation student's current opa /METHOD-ENTER evalinst evalprog ovalphys evalmool -.373 249 (Constant) 3.160 255 positive evaluation, 12:300 -.150 .579 luation, positive evaluation. 210 8 519 2320 Regression institution positive evaluation, major 139 478 positive evaluation, major 113 Descriptive Statistics 19 participant ) positive evaluation, facilities 1.000 -213 major. positive positive evaluation, facilities -119 332 Sid. Deviation positive oval, social life student's current gpa 3.184 -3859 sig. (1-talled) -213 1.000 institution positive eval, social life .004 052 011 068 student's current gpa 3.39 .004 043 953 positive evaluation, institution -152 a. Dependent Variable: student's current gpa .000 a. Dependent Variable: student's current gpa 99 99 b. All requested variables entered. vation, major 3.27 .953 positive evaluation, major -170 2.70 000 1.071 positive evaluation, facilities 071 Model Summary positive eval, social life 3.08 1.187 positive eval, social life Adjusted R Sid. Error of the student's current gpa Model R R Square Square Estimate Correlations positive evaluation, 512" 262 195 3461 Institution student's current evaluation positive Predictors: (Constant), positive eval, soctal-life, positive valuation, opa institution major Correlations evaluation, facilities, positive evaluation, major, positive evaluation, institution student's current gpa 1.000 -357 -176 positive positive sitive evaluation, 357 2000 779 student's current evaluation valuation titution gpa institution major ANOVA positive evaluation, major -176 1.000 positive evaluation, major positive evaluation, facilities 373 . 150 - 139 positive evaluation, facilities Model Sum of Squares df Mean Square F Regression 1.876 positive eval, social life 469 3.915 positive eval, social life 249 .008b .579 478 Residual 5.271 120 (1-tailed) student's current gpa .006 113 Correlations Total 7.147 positive evaluation, 006 090 cance institution positive a. Dependent Variable: student's current gpa valuation, positive eval, celsi positive evaluation, major .113 .000 facilities social life . Predictors: (Constant), positive eval, social life, positive evaluation, facilities, positive edieful positive evaluation, facilitie evaluation, major, positive evaluation, institution -004 152 -170 positive evaluation, major 49 ficant positive evaluation, facilities positive eval, social life -043 -000 student's current gpa positive eval, social life positive evaluation, nstitution Page 1 Pas