Based on the R Square it can be concluded that the linear regression equation obtained predicts adequately the increase in sales based on the money spent on TV advertising.

true or false?

Results: a) Graph: Scatterplot of Sales(y) vs Money(x) 1500 1250 1000 Sales(y) 750 500 300 400 500 600 700 800 900 1100 Money (x) From this graph it is clearly visible that the linear relationship exists between sales and money spent. So the line relationship provides a good fit. b) Using MINITAB: The regression equation is Sales (y) = 27.5 + 1.19 Money(x) Predictor Coef SE Coef T P Constant 27.54 97.71 0.28 0.785 Money(x) 1.1913 0.1351 8.82 0.000 S= 89.3345 R-Sq = 90.7% R-Sq(adj) - 89.5% Analysis of Variance Source DF SS MS F P Regression 620817 620817 77.79 0.000 Residual Error 53845 7981 Total 684663Linear Regression Problem: A marketing analyst is studying the relationship between the money spent on TV advertising ()0 and the increase in sales (y). One study reported the following data (in $1 for a particular company. Money spent on TV Increase in advertising (x) sales (y) 380