TABLE 2: Venus' Regression Model SUMMARY OUTPUT Regression Statistics Multiple R 0.9918 R Square 0.9837 Adjusted R Square 0.9648 Standard Error 15.9316 Observations 14 ANOVA df SS MS F Significance F Regression 92154.531 13164.933 51.868 0.0000602 Residual 1522.898 253.816 Total 13 93677.429 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 102.9227 863.5083 0.1192 0.9090 2010.006 2215.851 2010.006 2215.851 Vac_Rate 831.5489 1157.9162 0.7181 0.4997 -2001.770 3664.868 -2001.770 3664.868 Renter_Frac 2217.8321 2252.2149 0.9847 0.3628 -3293.139 7728.803 -3293.139 7728.803 Tot_Propty_Sale -0.0027 0.0012 -2.2613 0.0644 -0.006 0.000 -0.006 0.000 Avg_Home_Sale_Price -0.0049 0.0023 -2.1808 0.0720 -0.010 0.001 -0.010 0.001 Med_Home_Sale_Price 0.0078 0.0021 3.6919 0.0102 0.003 0.013 0.003 0.013 WTI 0.5140 0.4053 1.2681 0.2517 -0.478 1.506 -0.478 1.506 UnEmp Rate -16.3925 7.2393 -2.2644 0.0642 -34.107 1.322 -34.107 1.322 The Bayou City board made several specific requests of your team to help them assess the model and make a decision on a significant investment in the Houston rental market. Questions: 1. Review the regression output in Table 2 and provide your critique of the results. What are your concerns about Venus' model? (20 pts)