Consider the following ANOVA table for a multiple regression model.  Source df SS MS F Regression 3 225 75 5 Residual 20 300 15   Total 23 525     a) what is the size sample? How many independent variables are in this model? b) Calculate the multiple coefficient of determination?  d) Test the significance of the overall regression model using a= 0.10

7. Consider the following ANOVA table for a multiple regression model: Source df SS MS F Regression 118.8475 59.42375 40.92168993 Residual 13.0692 1.452133333 Total 11 131.9167 a) Complete the remaining entries in the table. e) Test the significance of the overall regression model using a=0.05.

Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 293.3 293.3 2.01 0.158 Residual Error 174 25386.6 145.9     Total 175 25679.9 The F-statistic is _____________.The p-value is ___________________

Last year, TimeWise conducted a study that aimed at predicting the waiting time (in minutes) at the checkout line of the Ranch 99 Supermarket in South Jakarta based on the number of customers in one particular month. Using the simple regression method on a dataset with a sample size of 30, the regression output tables are given below: SUMMARY OUTPUT Regression Statistics Multiple R 0.88728417 R Square 0.7872732 Adjusted R Square 0.77967582 Standard Error 0.59521532 Observations 30 ANOVA MS Significance F Regression 36.7121241 36.7121241 103.6242271 6.48782E-11 Residual 28 9.91987592 0.35428128 Total 29 46.632 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept -0.4479791 0.2782914 -1.6097484 0.118670876 -1.018033233 0.12207495 Customers 0.12847188 0.01262053 10.1795986 6.48782E-11 0.102619905 0.15432385 a. Determine the simple regression model to predict the waiting time b. Interpret the meaning of the regression coefficient of the independent variable c. What is…