Tutorial ExerciseThe following estimated regression equation based on 10 observations was presented.ŷ = 24.1570 + 0.5203x1+ 0.491x2Here, SST = 6,735.125, SSR = 6,229.375, sp.0.0816, and0.0568.%Dzas(a) Compute MSR and MSE.(b) Compute F and perform the appropriate F test. Use a = 0.05.(c) Perform at test for the significance of B,. Use a = 0.05.(d) Perform at test for the significance of ß,. Use a = 0.05.Step 1(a) Compute MSR and MSE.The MSR, mean square due to regression is calculated as follows where SSR is the sum of squares due toregression and p is the number of independent variables in the estimated regression equation.SSRMSR%DThe estimated regression equation was given to be ŷ = 24.1570 + 0.5203x, + 0.491x2. This equation hastwo independent variables, so p =The value of SSR was given to be SSR = 6,229.375. Usethese to find the value of MSR, rounding the result to three decimal places.SSRMSR =6,229.375SubmitSkip (you cannot come back).

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.

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.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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