A finance manager employed by an automobile dealership belie
A finance manager employed by an automobile dealership believes that the number of cars sold in his local market can be predicted by the interest rate charged for a loan.
 The finance manager performed a regression analysis of the number of cars sold and interest rates using the sample of data above. Shown below is a portion of the regression output.
Are there factors other than interest rate charged for a loan that the finance manager should consider in predicting future car sales?
Is interest rate charged for a loan the most important factor to be considered in predicting future car sales? Explain your reasoning.The dealership’s vice-president of marketing has requested a sales forecast at the prevailing interest rate of 7%.
As finance manager, what reasons would you convey to the vice-president in recommending this forecasting model?
Is the prediction of car sales at 7% a reflection of the current downturn in the economy? How might this impact the dealership’s business?
| Interest Rate (%) | Number of Cars Sold (100s) | 
| 3 | 10 | 
| 5 | 7 | 
| 6 | 5 | 
| 8 | 2 | 
Solution
SOL)
The Regression model si y=a+bx
where x is Interest rate and y is number of cars sold.
Hence y= 14.88 - 1.61 53(Interest rates)
A) Since R sqare is 0.997. Hence The model is best model .We can conclude that finance manager need not to consider other factors since we have 99.7% variation is due to interest rate.
B)Yes interest rate charged for a loan the most important factor to be considered in predicting future car sales.
Since it has a good coefficient of determination(R sqaure).
Now forcasting the Number of cars when interest rate is 7%
y= 14.88 - 1.61 53(Interest rates)
y= 14.88 -1.6153 (7)
y= 3.57 (100\'s)
C)
Yes finance manager, what reasons would you convey to the vice-president in recommending this forecasting model Since correlation and coefficient of determination is high.
D) Yes the prediction of car sales at 7% a reflection of the current downturn in the economy.

