A forecasting equation for starting salaries (in $1,000’s) and GRE scores was performed using simple linear regression model. Given a part of the computer printout shown below: SUMMARY OUTPUT Regression Statistics Multiple R 0.93 R Square 0.87 Adjusted R Square 0.86 Standard Error 3.31 Observations 11 ANOVA df SSs MS F Significance F Regression 684 684 62.58 0.000000 Residual Total Coefficients Standard Error t Stat P-vale Intercept -29.1406 8.660 -3.364 0.0083 GRE 0.065 0.008 7.910 0.000000 What can be said about the overall model? Select one: a. F-test indicates that the null hypothesis is not rejected.b. GRE is a good predictor for starting salary.c. GRE is not a good predictor for starting salary.d. Y-intercept should be deleted from the regression model.e. Starting salary is a good predictor for GRE.
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