1. A marketing firm studied the effects of two factors on the response to its television advertisements. The first factor is the time of day at which the ad is run, while the second is the position of the ad within the hour. The data provided as Excel file (Table_Q3), which were obtained by using a completely randomized experimental design, give the number of calls placed to a toll-free number following a sample broadcast of the advertisement.

a. Use Excel and run an ANOVA (Two-Factor with Replication) and show the output.

b. Test the significance of time-of-day effects with = .05. c. Test the significance of position of advertisement effects with = .05. d. Test for interaction by setting = .05.

1. 2.Thefollowingispartoftheresultsofaregressionanalysisinvolvingsales(Yinmillionsofdollars),advertisingexpenditures(X1inthousandsofdollars),andnumberofsalespeople(X2)foracorporation.Theregressionwasperformedonasampleof10observations.
   1. CoefficientStandardError
2. Constant -11.340 20.412
3. X10.7980.332
4. X2 0.141 0.278
5. a. Write the regression equation.
6. b. Interpret the coefficients of the estimated regression equation found in Part (a).
7. c. At =0.05, test for the significance of the coefficient of advertising.
8. d. At =0.05, test for the significance of the coefficient of number of salespeople.
9. e.Ifthecompanyuses$50,000inadvertisementandhas800salespersons,whataretheexpectedsales?Giveyouranswerindollars.