Foundations Busines Analytics 2 part A-F help!!!

Dixie Showtime Movie Theaters, Inc., owns and operates a chain of cinemas in several markets in the southem U.S. The owners would like to estimate weekly gross revenue as a function of advertising expenditures. Data for a sample of eight markets for a recent week follow. Click on the datafile logo to reference the data. DATA (a) Use the data to develop an estimated regression equation with the amount of television advertising as the independent variable. Let x represent the amount of television advertising. If required, round your answers to three decimal places, For subtractive or negative numbers use a minus sign even if there is a + sign before the biank. (Example:-300) 9= Test for a significant reiaticnship between televisioo advertising and weekly gross revenue at the 0.05 level of Ignificance, What is the interpretation of this relabonship? There a significant reistionship between the amount spent on television advertigina and weily gross revenue. The estimated regression equation is the best estimate of the given the Test for a significant relationship between television advertising and weekly gross revenue at the 0.05 level of significance. What is the interpretation of this relationship? Then a significant relationship between the amount spent on television advertising and weekly gross revenue. The estimated regre imate of the given the Test for a significant relationship between television advertising and weekly gross revenue at the 0.05 level of significance. What is the interpretation of this relationship? There a significant relationship between the amount spent on television advertising and weekly gross revenue. The estimated regression equation is the best estimate of the - Select your answer - Tgiven the amount spent on television advertising weekly gross rovenve Test for a significant relationship between television advertising and weekly gross revenue at the 0.05 level of significance. What is the interpretation of this relationship? There a significant relationship between the amount spent on television advertising and weekly. gross revenue. The estimated regression equation is the best estimate of the - Select your answer given the - Select your answer - amount spent on television advertising wetky grost revenue (b) How much of the variation in the sample values of weekly gross revenue does the model in part (a) explain? If required, round your answer to two decimal places. % (c) Use the data to develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables. Let x1 represent the amount of television advertising. Let xz represent the amount of newspaper advertising. If recuired, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example:-300) Test whether each of the regression parameters 0,1, and 2 is equal to zero at a 0.05 level of significance. Test whether each of the regression parameters 0,1, and 2 is equal to zero at a 0.05 level of significance. wI ions of the estimated regression parameters? Are these interpretations reasonable? What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? (i) 0 is the estimate of the weekly gross revenue when television and newspoper advertising are both zero. 1 is the estimate of change in the weekly gross revenue if newspaper advertising is held constant and there is a $100 increase in television advertising. 2 is the estimate of change in the weekly gross revenue if television advertising is held constant and there is a $100 increase in newspaper advertising. The interpretation of 0 is not reasonable but the interpretations of 1 and 2 are reasonable. (ii) 0 is the estimate of the weekly gross revenue when television and newspaper advertising are both zero. i is the estimate of change in the weekly gross revenue if television advertising is held constant and there is a $100 increase in newspaper advertising. 2 is the estimate of change in the weekly gross revenue if newspaper advertising is held constant and there is a $100 increase in television advertising. The interpretation of 0 is not reasonable but the interpretations of 1 and 2 are reasonable. (iii) 0 is the estimate of change in the weekly gross revenue if newspaper advertising is held constant and there is a $100 increase in television advertising. 2 is the estimate of change in the weekly gross revenue if television advertising is held constant and there is a $100 increase in newspaper advertising. 2 is the estimate of the weekly gross revenue when television and newspaper advertising are both zero. The interpretation of 0,1, and 2 are all reasonable. - Select your answer - Option (i) (d) Option (i) Option (iii) n the sample values of weekly gross revenue does the model in part (c) explain? - ver to two decimal places. (d) How much of the variation in the sample values of weekly gross revenue does the model in part (c) explain? If required, round your answer to two decimal plsces. % (e) Given the results in part (a) and part (c), what should your next step be? Explain. The input in the box below will not be graded, but may be reviewed and considered by your instructor. (f) What are the managerial implications of these results? Management can feel confident that increased spending on The results also suggest that generating revenue. advertising may be slightly more effective than advertising results in increased weekly gross revenue. advertising in (f) What are the managerial implications of these results? Management can feel confident that increased spending of - Select your answer Tadvertising results in increased weekly gross revenue. The results also suggest that beth tolevision and newspaper tive than advertising in generating revenue. only newspaper. (f) What are the managerial implications of these results? Management can feel confident that increased spending on advertising results in increased weekly gross ravenue. The results also suggest tha advertising may be slightly more effective than advertising in generating revenue. (1) What are the managerial implications of these results? Management can feel confident that increased spendina on advertising results in inereased weekly gross revenue. The results also suggest that advertising may be slightly more effective tha advertising in generating revenue