library(wooldridge)
data(gpa1)
library(rmarkdown)
paged_table(gpa1)
coklureg <- lm(colGPA~ hsGPA+ACT,data = gpa1)
summary(coklureg)
##
## Call:
## lm(formula = colGPA ~ hsGPA + ACT, data = gpa1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.85442 -0.24666 -0.02614 0.28127 0.85357
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.286328 0.340822 3.774 0.000238 ***
## hsGPA 0.453456 0.095813 4.733 5.42e-06 ***
## ACT 0.009426 0.010777 0.875 0.383297
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3403 on 138 degrees of freedom
## Multiple R-squared: 0.1764, Adjusted R-squared: 0.1645
## F-statistic: 14.78 on 2 and 138 DF, p-value: 1.526e-06