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X Y 1 50 8 57 11 43 16 18 20 18 Use the estimated regression...

X Y 1 50 8 57 11 43 16 18 20 18 Use the estimated regression equation is y = 61.5 – 2.21x. A). Compute the Mean Square Error Using Equation. S^2 = MSE = SSE/(n-2) B). Compute The Standard Error of the estimate using equation. S = SQRT(MSE) = SQRT[SSE/(n-2)] C). Compute the estimated Standard Deviation of b1 using equation. Sb1 = S/SQRT[SUM(x-(x-bar))^2] D). Use the t-test to test the following hypothesis (α = 0.05) H0: β1 = 0 H1: β1 ≠0 Compute the value of the t-test statistic. What is the p-value? E). Use the F-test to test the hypothesis in part (D) at a 0.05 level of significance. Present the results in the analysis of variance table format. Source of Variation Degrees of Freedom Sum of Squares Mean Square F p-value Regression Error Total What is the p-value?

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Answer #1

Since p-value >0.05 so the regression equation is insignificant and slope is insignificantly different from zero.

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