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C D 1 Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads Using the accompanying Concert Sales data on sales dollars
C D 1 Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads Using the accompanying Concert Sales data on sales dollars and the number of radio, 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 explain R-square, Significance F, and p-values, with an alpha of 0 05 Click the icon to view the Concert Sales data 2 1064 0 39 3 997 0 41 4 919 25 26 5 626 25 25 6 869 32 29 7 950 30 30 8 946 34 34 9 1199 33 10 881 38 33 25 11 1011 41 24 State the hypotheses for the simple linear regression tests. 12 1614 47 45 13 1562 43 47 Ho B =0 14 1067 48 48 H B0 15 934 48 52 16 1395 53 20 State the model predicting ConcertSales as a function of Radio&TV, the number (in thousands) of radio and TV ads. 17 1336 54 21 18 1401 62 32 19 1496 62 ConcertSales + Radio&TV 20 1561 68 32 33 (Type integers or decimals rounded to three decimal places as needed.) 21 1715 64 33 22 1774 70 39 23 1786 68 42 24
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