Total variation = 25.549; SSE = 2.568; b1 = – .12792.
Answer to relevant QuestionsTotal variation = 13.459; SSE = 2.806; b1 = 2.6652 Consider testing H0: β1 = 0 versus Ha: β1 = 0. Figure tells us that t = 30.5802 and that the related p-value is less than .001. Assuming that the bivariate normal probability distribution assumption holds, test H0: ρ = 0 ...What patterns in residual plots indicate violations of the regression assumptions? What four assumptions do we make about the simple linear regression model? Use the MINITAB output in Figure (b) to do (1) through (6) for each of β0, β1, and β2.
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