Make sure to show the relevant Mintab(graph) output first then followed by your detailed answers.

And please use the table I attached.

The sales manager of a large automotive parts distributor, Hartman Auto Supplies, wants to develop a model to forecast as early as May the total annual sales of a region. If regional sales can be forecasted, then the total sales for the company can be forecasted. The number of automobiles registered for each region and the regional income level (high and low) as of May 1 are the two independent variables investigated.

1. Run a multiple linear regression model using both independent variables. Then test on the significance of the slope coefficient for regression personal income and interpret the coefficient.
2. Comment on the fitness of the model. Make sure to interpret criteria you used to determine the fitness.
3. Check the residuals. Do you see any assumptions violated?

Region Annual Sales ($ millions) Number of Automobiles Registered ($ millions) Regional Personal Income 52.3 24.6 High 26 22.1 Low 20.2 7.9 Low 16 12.5 Low 30 9 High DO YOUDWNP 46.2 11.5 High 35 20.5 High 3.5 4.1 Low 33.1 8.9 High 25.2 6.1 High 11 38.2 9.5 High