A simple linear regression analysis involving 20 observations produced SSR = 96.78 and SSE = 43.22. The standard error of estimate was: Select one: a. 1.4964 b. 2.6458 c. 1.5496 d. 2.2392 e None of the choices
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4If the standard error of the estimate for a regression model fitted to a large number of paired observations is 1.75, approximately 95% of the residuals would lie within ______. −3.50 and +3.50 −1.75 and +1.75 −0.95 and +0.95 −0.68 and +0.68 −0.97 and +0.97Suppose that a sample of n = 12 pairs of X and Y scores has SSY = 90 and a Pearson correlation of r = +0.40. Does the regression equation predict a significant portion of the variance? Test with α = .05.(hint: SStotal = SSY; r2 = SSregression/SSTotal)
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