A study was conducted to determine the effect of the geographical distance to a city center on the selling price of a residential property. Figure 2 shows the output from the regression analysis of the data which is cover a random sample of new residential housings sold from July 2014 to June 2016 with their respective distances (miles) from the city center and the median home price (all figures in thousands, x$1000).

SUMMARY OUTPUT Regression Statistics Multiple R 0.871407 R Square 0.75935 Adjusted R Square 0.735285 Standard Error 29.79594 Observations 12 ANOVA df SS MS F Significance F Regression 1 28013.69 28013.69 31.55413 0.000222 Residual 10 8877.979 887.7979 Total 11 36891.67 Standard Upper Lower Upper Coefficients Error t Stat P-value Lower 95% 95% 95.0% 95.0% Intercept 457.6648 17.94963 25.49718 1.98E-10 417.6706 497.6591 417.6706 497.6591 Distance (miles) -6.43623 1.145786 -5.61731 0.000222 -8.9892 -3.88326 -8.9892 3.883259 Figure 2