Part 4 of 18 E points Points 0 5 of 5 K 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 06 Click the icon to view the Concert Sales data State the hypotheses for the simple linear regression tests Ho P 0 H P 0 Save State the model predicting ConcertSales as a function of Radio TV the number in thousands of radio and TV ads Concertsales 603 673 12 531 Radio TV Type integers or decimals rounded to three decimal places as needed The value of R 0 527 indicates that 527 of the variation in the dependent variable is explained by this independent variable Type integers or decimals rounded to three decimal places as needed The Significance Fis Type an integer or decimal rounded to three decimal places as needed 2 3 4 5 3 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1064 997 919 626 869 950 946 FTININ 1199 881 ww 1011 1614 1614 1562 1067 934 1395 1395 1336 INOL 1401 1496 1561 1715 1774 1786 0 0 25 25 2 32 29 30 2 34 M 33 38 41 P 47 43 48 48 52 53 54 62 62 68 64 70 68 aus 39 41 26 25 29 29 30 20 34 33 T 25 24 45 47 48 20 52 E 20 DE 21 32 22 32 3 3 33 39 42