Please help. I created the Linear regresssion models but need assistance on the rest of the questions.

PART A

(a)Develop a multiple linear regression model to predict Company revenue, using CPI, Personal Consumption, and Retail Sales Index as the independent variables.- Created the model as in pic.

(b)Scatter chart created for Predicted and residuals. Comment on what you see on the plot.Note: This residual plot is for the entire model.

(c)Does it seem that companys revenue is closely related to the general state of the economy?Use all plots and statistical criteria on the Excel Regression output to explain it.

PART B

(d)Develop a multiple linear regression model to predict companys revenue, using CPI, Personal Consumption, and Retail Sales Index as the independent variables. - Created the model as in pic.

(e)Scatter chart created for Predicted and residuals. Comment on what you see on the plot.Note: This residual plot is for the entire model.

(f)Does it seem that company revenue is closely related to the general state of the economy?Use all plots and statistical criteria on the Excel Regression output to explain it.

(g) Compare the results of a multiple linear regression model parts (a) and (d), which of these two models is better?Use R-square values, adjusted R-square values, Significance F values, p-values, scatter plots, residual plots and normal probability plots to explain your answer

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