Cars.com would like to use simple regression to predict the selling price of a used car, in thousands of dollars, based on the age of the car in years. A random sample of used cars was selected and the result of the regression analysis is shown below.

SUMMARY OUTPUT Regression Statistics Multiple R 0.7885 R Square 0.6217 Adjusted R Square 0.5461 Standard Error 1.4528 Observations 7 ANOVA of SS MS F Significance F Regression 1 17.3464 17.3464 8.2182 0.0351 Residual 5 10.5536 2.1107 Total 6 27.9 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 11.6881 1.2403 9.4237 0.0002 8.4999 14.8764 Age -0.5072 0.1769 -2.8667 0.0351 -0.9620 -0.0524