A record company is interested in predicting physical and downloaded album sales from the amount of money spent advertising that album, the number of times songs from the album are played on radio the week before release. and the attractiveness of the band. The company does this for 200 different albums. Attractiveness was measured by asking a random sample of the target audience to rate the attractiveness of each band on scale from 0 (hideous) to 10 (gorgeous). The mode attractiveness given by the sample was used in the regression because the company was interested in what the majority of people thought, rather than the average of people's opinions. A multiple regression analysis was conducted using iamovi. Linear Regression Model Fit Measures Model R R2 1 O. E 1 5 0.665 Omnibus ANOVA Test Sum of Squares of Mean Square F p Regression 361377.418 3 287125.805 129.495 .000 Residuals 434574.582 196 2217217 Model Coefcients -5ales . . Stand. Predlctor Estimate SE t p _ Estimate Intercept -26.613 17.350 -1.534 .127 Number of plays on . 0.085 0.007 12.261 .000 0.511 radlo Advertising budget {thousands 0' \""3\"\" 3.357 0.275 12.123 .000 0.512 Attractiveness of the 11.086 2.438 4.548 .067 0.192 band Use the information above to compose a formal APA-style report of your ndings