Interpret the slope associated with Education, holding all other variables constant. Regression Analysis R' 0.767 Adjust

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Interpret The Slope Associated With Education Holding All Other Variables Constant Regression Analysis R 0 767 Adjust 1 (51.73 KiB) Viewed 23 times

Interpret the slope associated with Education, holding all other variables constant. Regression Analysis R' 0.767 Adjusted R' 0.581 R 0.876 Std. Error of Estimate 468.203 n 10 k 4 Dep. Var. SqrFt std. error t(df-5) p-value Regression output variables Intercept Income Size Senior Education a b1 b2 b3 b4 coefficients 1,901.003 9.832 272.551 -45.123 -80.938 12.061 265.406 368.029 59.554 0.815 1.027 -0.123 -1.359 4520 .3515 .9072 2322 dy ANOVA table Source SS Regression 3,614,819.774 Residual 1,096,071.126 Total 4,710,890.900 o on Ag MS 903,704.943 219,214.225 F p-value 4.12 .0762 5 9 For each increase in the number of years of education, the square footage decreases by 81 For each decrease in the number of years of education, the square footage decreases by 81 None of these O For each increase in the number of years of education, the square footage increases by 1901 For each increase in the number of years of education, the square footage decreases by 10