Which coefficients are statistically significant in this regression? And explain the methods you use to determine that - between t-stat, p-value, and confidence interval?

 

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Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Housing Price Index In(Total Compensation), Total Construction Empl Unemployment Rate Total College Enrollmen 0.7971 0.6353 0.5957 0.3818 52 df 5 46 51 SS MS F 11.68120713 2.336241 16.02665 6.705523634 0.145772 18.38673077 Coefficients Standard Error 17.1044 0.0428 -4.0751 -0.0008 -0.0684 -0.0001 Significance F 3.95983E-09 t Stat P-value Lower 95% 0.0922 -2.9183 0.0156 -9.2501 -0.0015 -0.1078 -0.0003 9.9472 1.7195 0.0135 3.1626 0.0028 2.5709 -1.5851 0.1198 0.0004 -2.0753 0.0436 0.0011 0.0196 -3.4892 0.0001 -0.5406 0.5914 Upper 95% 37.1270 0.0701 1.0999 -0.00002 -0.0289 0.0002 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Housing Price Index In(Total Compensation), Total Construction Empl Unemployment Rate Total College Enrollmen 0.7971 0.6353 0.5957 0.3818 52 df 5 46 51 SS MS F 11.68120713 2.336241 16.02665 6.705523634 0.145772 18.38673077 Coefficients Standard Error 17.1044 0.0428 -4.0751 -0.0008 -0.0684 -0.0001 Significance F 3.95983E-09 t Stat P-value Lower 95% 0.0922 -2.9183 0.0156 -9.2501 -0.0015 -0.1078 -0.0003 9.9472 1.7195 0.0135 3.1626 0.0028 2.5709 -1.5851 0.1198 0.0004 -2.0753 0.0436 0.0011 0.0196 -3.4892 0.0001 -0.5406 0.5914 Upper 95% 37.1270 0.0701 1.0999 -0.00002 -0.0289 0.0002

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The coefficients that are statistically significant in this regression are the Housing Price Index I... View the full answer