Now, the predictors flyer and display were added to the dataset and a multiple linear regression model was fitted. Part of the R output is shown below – Estimate Standard Error Intercept 81.23 35.24 Price -0.0318 0.023 Flyer 10.21 3.28 Display 21.67 13.27 Adj R Square = 78.8% Calculate a 95% confidence interval of Flyer and interpret the same in the context of the problem. Can we say that promoting a product through fliers significantly affect its sales? What is the coefficient of multiple determination of this model? Interpret its value.

Now, the predictors flyer and display were added to the dataset and a multiple linear regression model was fitted. Part of the R output is shown below – Estimate Standard Error Intercept 81.23 35.24...

Now, the predictors flyer and display were added to the dataset and a multiple linear regression model was fitted. Part of the R output is shown below –

Adj R Square = 78.8%

Calculate a 95% confidence interval of Flyer and interpret the same in the context of the problem. Can we say that promoting a product through fliers significantly affect its sales?

What is the coefficient of multiple determination of this model? Interpret its value.

Jun 02, 2022