Using the accompanying Concert Sales data on sales dollars and the number ofradio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. Compare these results to a multiple linear regression model using both independent variables. State the model and explainR-square, SignificanceF, andp-values, with an alpha of 0.05.

Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads

1069 0 41

989 0 38

904 26 26

650 25 25

941 29 29

928 30 30

914 33 36

1206 36 36

883 40 24

936 38 24

1560 46 44

1564 45 44

1078 53 49

944 50 52

1366 54 21

1310 58 20

1350 57 31

1413 57 30

1551 68 33

1693 67 35

1923 74 40

1661 68 39

State the hypotheses for the simple linear regression tests.

H0: beta 1 equals 0

1=0

H1: beta 1 not equals 0

10

State the model predicting ConcertSales as a function ofRadio&TV, the number(in thousands) of radio and TV ads.

ConcertSales=

nothing

+

Radio&TV

(Type integers or decimals rounded to three decimal places asneeded.)