B) The following simple regression analysis is based a study on WASSCE (West Africa Senior School Certificate Examination) results and Cumulated Weighted Average (CWA) of some 500 past undergraduate students of GTUC. The study sought to examine whether WASSCE results was a good predictor of CWA that students graduate with at the University. The tables below are outputs from SPSS. Model Summary Model R Square Adjusted R Std. Error of the Estimate Square .117 .014 .012 10.59242 a. Predictors: (Constant), WASSCE 1 F Sig. ANOVA Model Sum of Df Squares Regression 703.713 Residual 50601.885 451 Total 51305.598 452 a. Dependent Variable: CWA b. Predictors: (Constant), WASSCE Mean Square 703.713 112.199 6.272 1.0136 Sig. Coefficients Model Unstandardized Coefficients B Std. Error (Constant) 42.025 2.115 WASSCE.114 .046 a. Dependent Variable: CWA Standardized T Coefficients Beta 19.872 .117 2.504 .000 .013 Required Determine whether WASSCE significantly accounts for CWA (consider the coefficient of determination, ANOVA, and unstandardized coefficients). State and interpret the regression equation. What would be your recommendation for the use of WASSCE results as the only entry root to the university? 13 Marks TOTAL MARKS -25 MARKS