Question: 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

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.

Cars.com would like to use simple regression to predict the selling price

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

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