Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -523.9203 2212.05
ID: 3058464 • Letter: C
Question
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -523.9203 2212.0523 -0.237 0.8138
MEDHVL 67.1338 33.2363 2.020 0.0492 *
PRCRENT -116.8756 72.6274 -1.609 0.1144
POP 0.6520 0.0667 9.775 8.36e-13 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 3631 on 46 degrees of freedom
Multiple R-squared: 0.8115, Adjusted R-squared: 0.7992
F-statistic: 66.01 on 3 and 46 DF, p-value: < 2.2e-16
1. Perform t-test for each regression Coefficient in your model.
2.Perform F-test to test the overall significance of the regression. Comment on the adequacy of the model.
Explanation / Answer
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -523.9203 2212.0523 -0.237 0.8138
MEDHVL 67.1338 33.2363 2.020 0.0492 *
PRCRENT -116.8756 72.6274 -1.609 0.1144
POP 0.6520 0.0667 9.775 8.36e-13 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 3631 on 46 degrees of freedom
Multiple R-squared: 0.8115, Adjusted R-squared: 0.7992
F-statistic: 66.01 on 3 and 46 DF, p-value: < 2.2e-16
1. Perform t-test for each regression Coefficient in your model.
2.Perform F-test to test the overall significance of the regression. Comment on the adequacy of the model.