Part 3 of 18 GEZER K Using the accompanying Concert Sales

Last updated: 7/20/2023

Part 3 of 18 GEZER 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 05 Click the icon to view the Concert Sales data State the hypotheses for the simple linear regression tests Ho B 0 H B 0 points Points 0 5 of 5 State the model predicting ConcertSales as a function of Radio TV the number in thousands of radio and TV ads ConcertSales 693 673 12 531 Radio TV Type integers or decimals rounded to three decimal places as needed The value of R indicates that of the variation in the R2 variable Type integers or decimals rounded to three decimal places as i variable is explained by this dependent Save independent 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 1064 997 919 626 869 950 946 1199 881 1011 1614 1562 1067 934 1395 1336 1401 1496 1561 1715 1774 1786 0 0 25 25 32 30 34 33 38 41 47 43 48 48 53 54 62 62 68 64 70 68 per ads 39 41 26 25 29 30 34 33 25 24 45 47 48 52 20 21 32 32 33 33 39 42