Also, can you check this as well. The bottom part is what I need help with.

\f\f\f\fUsing 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 Rsquare, Signi-nce FI and pvalues. with an alpha of0.t'15. E Click the icon to view the Concert Sales data. State the hypotheses for the simple linear regression tests. Hui 'l = 0 H1 : [51 i 0 State the model predicting ConcertSales as a function of Rad io&TV, the number (in thousands) of radio and TV ads. ConcertSales = $1.591 + [ 12.923] Radio&TV (Type integers or decimals rounded to three decimal places as needed.) The value of R2. 0.545', indicates that 545% 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 Signicance F is 0.000 . (Type an integer or decimal rounded to three decimal places as needed.) The Radiomi' pvalue is com} . (Type an integer or decimal rounded to three decimal places as needed.) Because the p-value and Significance F are the chosen level of significance, the null hypothesis. The results suggest that the variable for the regression model