The following estimated regression equation based on 10 observations was presented. ŷ = 24.1570 + 0.5203x, + 0.491x2 Here, SST = 6,735.125, SSR = 6,229.375, sp, = 0.0816, and = 0.0568. (a) Compute MSR and MSE. zas (b) Compute F and perform the appropriate F test. Use a = 0.05. (c) Perform at test for the significance of ß,. Use a = 0.05. (d) Perform at test for the significance of B,. Use a = 0.05.

A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y).The results of the regression were: y=ax+b a=5.088 b=26.56 r2=0.913936 r=0.956 Use this to predict the final exam score of a student who studies 4.5 hours per week, and please round your answer to a whole number.

A regression was run to determine if there is a relationship between hours of study per week (X) and the test scores (y ). The results of the regression were:y=ax+ba=5.931b=20.1r2=0.748225r=0.865Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=ax+b a= -0.889 b=32.071 r2=0.505521 r= -0.711 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)