can you please help me out, i have been stuck on this question and can not figure it out, and guidance would be greatly appreciated. Thank you.

The output from a regression model that was to predict sales based on the number of Radio and TV ads (x1) and Newspaper ads (x2) is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.7378 R Square 0.5444 Adjusted R Square 0.4964 Standard Error 245.2327 Observations 22 ANOVA df SS MS F Significance F Regression 2 1365150 682574.9 11.34994 0.00057132 Residual 19 1142643 60139.1 Total 21 2507793 Coefficient:andard Err t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 385.38 237.73 1.62 0.12 -112.20 882.97 -112.20 882.97 Radio&TV ads 12.03 2.70 4.45 0.00 6.37 17.69 6.37 17.69 Newspaper ads 9.39 5.98 1.57 0.13 -3.13 21.91 -3.13 21.91 Select the following true statements. NOTE: You can select multiple statements if more than one is true.Select the following true statements. NOTE: You can select multiple statements if more than one is true. The model would not be considered good because the coefficient for Newspaper ads is considered equal to zero. The model would not be considered good because the coefficient for Radio & TV ads is considered equal to zero. The coefficient of determination is 0.5444. The coefficient of determination is 0.7378. If I ran 10 Radio & TV ads and no Newspaper ads, I would expect sales to be $505.68. If I ran 10 Radio & TV ads and no Newspaper ads, I would expect sales to be $120.30. There were 22 observations in the data file. O There were 21 observations in the data file