FBStyles, Inc. sells cosmetic products in the US. The marketing department of FBStyles, Inc. claims that there ex=its a positive linear relationship between the advertising expenditures and the cosmetics sales. The marketing department recently analyzed the sales of FBStyles' products over a period of 42 weeks. For each week in the sample, FBStyles' sales (SALES) and their advertising expenditures (ADVERT) were recorded. A simple regression analysis was made using this data and the model: A) Term Estimate Std Error t Ratio Intercept 483.402 157.128 3.08 ADVERT 1.43629 0.149238 9.62 Source SSqua res D. F Model 14,123,027 1 Error 6,099,042 40 C Total 20,222,069 41 Response: SALES Summary of Fit qu uare 0.828993 qu uareAdj 0.820223 Root Mean Square Error 297.7748 Mean of Response 1880.024 Observations (or Sum Wgts) 42 Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept 17787.977 3173.078 5.61 <.0001 advert com psales what is the interpretation of under new model which would you use to predict fbstyles sales explain why. obtain correlation between actual and predicted in>