502Here, SST = 6,721.125, SSR = 6,212.375, sh = 0.0816, and sThe following estimated regression equation based on 10 observations was presented.y = 26.1570 +0.5205x₁ + 0.495x2(a) Compute MSR and MSE.(b) Compute F and perform the appropriate F test. Use α = 0.05.(c) Perform a t test for the significance of ₁. Use α = 0.05.(d) Perform a t test for the significance of $₂. 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 to regressionand p is the number of independent variables in the estimated regression equation.MSR =MSR =The estimated regression equation was given to be y = 26.1570+ 0.5205x₁ + 0.495x₂. This equation has twoindependent variables, so p = 0.05X . The value of SSR was given to be SSR = 6,212.375. Use these to findthe value of MSR, rounding the result to three decimal places.SSRР2= 0.0568.SSRP6,212.3753106.1875

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A First Course in Probability (10th Edition)

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Chapter1: Combinatorial Analysis

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