In: Statistics and Probability
Problem (simple linear regression). McDonald’s Corporation reported total revenues (X) and net profits (Y) from 1998 to 2005. Using 2-var statistics, we get: x-average=15.86; standard deviation of X =2.82; y-average=1.795, standard deviation of Y=0.5278; n=8 (from 1998 to 2005). Sum of squared X=2067.50, sum of squared Y=27.73, and sum of the product of X and Y =233.28. The least-square regression is Y (net profit) =0.2107+0.0999X (total revenue), with ESS=1.3965, and standard error of estimate (Sy,x)=0.4824. For one year with total revenue of 18.0, what is the 95% confidence interval for the net profit? (a) Compute the coefficient of determination, r-square , and interpret its meaning in the context of the problem. (b) Testing the hypothesis that the slope could be 0 at 0.10 level of significance. (c) Conduct the ANOVA F-test to the overall validity of the regression analysis. Use 0.10 level of significance.
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