The following table provides the data for the linear regression model of annual sales for the last ten years. Regression Statistics Multiple R 0.937203 R Square Adjusted R 0.863142 Square Standard 1.448615 Error Observations 10 ANOVA df SS MS F Regression 1 121.2121 121.2121 57.76173 Residual 8. 16.78788 2.098485 Total 9 138 Coefficients Standard Error t Stat P-value Intercept 11.33333 0.989592 11.45253 3.06E-06 X Variable 1 1.212121 0.159487 7.600114 6.3E-05 What is the slope (trend)? What is the slope (trend)? O 11.333 1.212 O.937 O878 D Question 13 What is the y-intercept? 11.333 1.212 0.937 O.878 Question 14 What is the sample correlation coefficient? 11.333 1.212 0.937 O.878 21 3 What is the coefficient of determination? 11.333 1212 O.937 878 Question 16 What is the forecast for year 11? O 24.667 O27.091 25.879 O 11.333 D Question 17 What is the forecast for year 13? O24.667 O 27.091 25.879 O 11.333 3 p 3 Question 10 The following 5 week sales time series indicates a trend pattern (6. 11, 9, 14, 15). Using regression analysis, what is the forecast for week 6? O 13.1 15.2 O 17.3 19.4 Question 19 What is the trend (slope)? .904 817 0.756 21 Question 20 What is the coefficient of determination? O.904 O .817 0.756 O 21 2 p 2 What is the correlation coefficient? 0.904 O817 0.756 O21 Question 22 What is the mean absolute percentage error? 1.98 O 12.48 O 1.2 2.1 Question 23 What is the forecast for week 10? 15.1 17.3. O It is not possible to forecast 25.7 3 p 3