Figure below shows the output from a regression of the following variables:

-QUANTITY: number of cars sold in US, in thousands

-PRICE: index of inflation-adjusted car prices

-INCOME: inflation-adjusted measure of disposable income, in thousands

-INTEREST: prime rate of interest

We have one value of each of these variables for each year running from 1970 to 1987. QUANTITY is the dependent variable.

Regression Statistics:

Multiple R = 0.843

R Square = 0.711

Adjusted R Square = 0.649

Standard Error Observations = 18

ANOVA df SS MS F P-value Regression 3 15980400 11.48 0.000 Residual 14 6494658 Total 17 22475058 Coefficients Std Err t Stat P-value Lower 95% Upper 95% Intercept 2854.15 1332.062 0.47 0.648 -4789.5 7453.6 Price -62.400 18.54 -3.36 0.005 -102.2 -22.6 Income 8.290 2.54 3.27 0.006 2.8 13.7 Interest -116.554 57.62 -240.1 7.0