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SUMMARY OUTPUT Regression Statistics Multiple R 0. 5 5 2982 R Square* 0 . 305789 Adjusted R Square* 0 . 30028 Standard Error 44951. 07 Observations...
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SUMMARY OUTPUTRegression StatisticsMultiple R0. 5 5 2982R Square*0 . 305789Adjusted R Square*0 . 30028Standard Error44951. 07Observations128ANOVAofSSMSFignificance FRegression11 . 12 E + 1 1 1 . 12 { + 1 1 55. 501 11|1 . 3 E - 1 1Residual126 2.55 E + 1 1| 2. 02 E + 09Total127\ 3.67 E + 1 1Coefficients andard Errc*I StatP-value Lower 95% Upper 95%. ower 95. OX Upper 95. 0%Intercept- 20182 .3| 37932 . 21|- 0 . 532060 . 59562- 95249 54884.46- 95249 54884.46SQ FT140. 4526 18.85294 7.4499071 . 3 E - 1 1 103 . 1432177 . 762 103 . 1432177. 76294 . Based on the regression of Sq Ft on Price , each 1 SqFt increase raises the Price by0 - 20182.30 0 . 307. 40 140. 5