Thanks for the great help :)

Use the Data Set and Regression output below to answer question numbers 18 through 27. Selling Price 400000 370000 382500 300000 305000 320000 321000 445000 377500 260000 Age 27 21 36 34 56 34 35 19 40 20 SUMMARY OUTPUT Regression Statistics Multiple R -0.283585202 R Square 0.080420567 Adjusted R Square 0.034526862 Standard Error 56800.31226 Observations 10 ANOVAdf SS MS F Significance F Regression 1 2257196218 2257196218 0.699629104 0.427184542 Residual 8 25810203782 3226275473 Total 9 28067400000Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 393577.2358 57260.24132 6.87348196 0.00012791 261534.8825 525619.6 261534.9 525619.6 Age -1412.336515 1688.512398 -0.836438344 0.427184542 -5306.053087 2481.38 -5306.05 2481.38 Selling Price 400000 370000 382500 300000 305000 320000 321000 445000 377500 260000 Age 27 21 36 34 56 34 35 19 40 20 SUMMARY OUTPUT Regression Statistics Multiple R -0.283585202 R Square 0.080420567 Adjusted R Square 0.034526862 Standard Error 56800.31226 Observations 10 ANOVAdf SS MS F Significance F Regression 1 2257196218 2257196218 0.699629104 0.427184542 Residual 8 25810203782 3226275473 Total 9 28067400000Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 393577.2358 57260.24132 6.87348196 0.00012791 261534.8825 525619.6 261534.9 525619.6 Age -1412.336515 1688.512398 -0.836438344 0.427184542 -5306.053087 2481.38 -5306.05 2481.38