Question

What will be the proper baseline model in the model comparison assessing the unique predictive utilities of GREV and GREQ for GPA after controlling for MAT and AR? Please specify the actual value(s) of the parameter estimate(s) in the model.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Change Statistics
					R Square Change	F Change	df1	df2	Sig. F Change
1	.828a	.685	.672	5.04064	.685	51.165	2	47	.000
2	.907b	.822	.807	3.87048	.137	17.357	2	45	.000
a. Predictors: (Constant), AR, MAT
b. Predictors: (Constant), AR, MAT, GREV, GREQ

Answer 1

To asses the ove predictive utility of the model we need to examine the values of r-squared in both the model.

R-squared is a statistical measure of how close the data are to the fitted regression line.

R-squared close to 1 indicate that our model predicts the data well,here r Square value for for GREW for GPA after controlling for MAT variable has given 0.822 which is greater than that of second model.

So model model using GREWfor GPA after controlling for MAT will you better predictive utility.