1 Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads 41 1164 0 1006 0 39 25 870 24 624 26 24 878 30 32 30 940 29 36 35 935 1185 33 35 24 10 926 42 40 26 1012 1604 47 43 43 1537 46 51 992 49 49 957 50 6 1381 54 19 56 21 1393 8 59 29 1462 9 1424 57 30 37 1566 63 65 36 1665 42 1954 68 40 23 1727 71Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group ofcities. 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 Rsquare, Signicance F, and pvalues, with an alpha of 0.05. a Click the icon to View the Concert Sales data. State the hypotheses for the simple linear regression tests. HD: [31 =0 H1: [31 at) State the model predicting ConcertSales as a function of RadioSLTV, the number {in thousands} of radio and TV ads. ConcertSales = D + {CD Radian (Type integers or decimals rounded to three decimal places as needed.)