Advertisement
Guest User

Untitled

a guest
Apr 24th, 2018
52
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.39 KB | None | 0 0
  1. wagedata = read.table("C:\\Users\\DELL\\Desktop\\wagedata.csv")
  2.  
  3. regression_36 <- lm(log(wage) ~ educ, data = wagedata)
  4. summary(regression_36) #beta1(intercept) 0.583773 beta2 0.082744 (slope)
  5. summary(regression_36)$r.squared
  6.  
  7. resid <- regression_36$residuals
  8. y <- log(wagedata[1])
  9. r_squared_bar <- 1 - (sum(resid^2)/sum(y^2))
  10. print (r_squared_bar) # 0.9212892
  11.  
  12. #0.1858065 <= 0.9212892
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement