QUESTION 5 (Short-Answer) Based on the Excel outputs below, answer the questions. ((=0.1). ANOVA of SS MS Significance F Regression 44.46296 1396472 Residual 6 191.037037 31.83951 Total 23545 Coefficients Standard Error Stat P-value Lower 95% Upper 95% ower 95.09upper 95.0% Intercept 14.259259 4.670755606 3.052881 0.022429 2.830332013 25.68819 2.830332 25.68819 X Variable -1.8148 1.535734983 1.18172 0.282025 1.94299332 5.572623 -1.94299 5.572623 (a) Which of the following statements is true? [Multiple Choice] (6 points) (A) A good fit for the estimated regression line because R-= 0.55. (B) A poor fit for the estimated regression line because R- - 0.55. (C). The fitness of the estimated regression line cannot be determined because R- cannot be compu (D). A good fit for the estimated regression line because p-valueco. (E). A good fit for the estimated regression line because p-value- (. (F). None of the above. (b). Predict the value of y when x-5. (6 points) For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac)