log(price) = 9.40 +0.312*log(dist) ; n = 135, R^2 = 0.162
## wage hours IQ KWW educ exper tenure age married black south urban sibs
## 1 769 40 93 35 12 11 2 31 1 0 0 1 1
## 2 808 50 119 41 18 11 16 37 1 0 0 1 1
## 3 825 40 108 46 14 11 9 33 1 0 0 1 1
## 4 650 40 96 32 12 13 7 32 1 0 0 1 4
## 5 562 40 74 27 11 14 5 34 1 0 0 1 10
## 6 1400 40 116 43 16 14 2 35 1 1 0 1 1
## brthord meduc feduc lwage
## 1 2 8 8 6.645091
## 2 NA 14 14 6.694562
## 3 2 14 14 6.715384
## 4 3 12 12 6.476973
## 5 6 6 11 6.331502
## 6 2 8 NA 7.244227## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 115.0 669.0 905.0 957.9 1160.0 3078.0## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 50.0 92.0 102.0 101.3 112.0 145.0##
## Call:
## lm(formula = wage ~ IQ)
##
## Residuals:
## Min 1Q Median 3Q Max
## -898.7 -256.5 -47.3 201.1 2072.6
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 116.9916 85.6415 1.366 0.172
## IQ 8.3031 0.8364 9.927 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 384.8 on 933 degrees of freedom
## Multiple R-squared: 0.09554, Adjusted R-squared: 0.09457
## F-statistic: 98.55 on 1 and 933 DF, p-value: < 2.2e-16The average IQ is 102 and the average wage is $905.
##
## Call:
## lm(formula = log(wage) ~ IQ)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.09324 -0.25547 0.02261 0.27544 1.21486
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.8869943 0.0890206 66.13 <2e-16 ***
## IQ 0.0088072 0.0008694 10.13 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3999 on 933 degrees of freedom
## Multiple R-squared: 0.09909, Adjusted R-squared: 0.09813
## F-statistic: 102.6 on 1 and 933 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = IQ ~ educ)
##
## Residuals:
## Min 1Q Median 3Q Max
## -50.228 -7.262 0.907 8.772 37.373
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 53.6872 2.6229 20.47 <2e-16 ***
## educ 3.5338 0.1922 18.39 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 12.9 on 933 degrees of freedom
## Multiple R-squared: 0.2659, Adjusted R-squared: 0.2652
## F-statistic: 338 on 1 and 933 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = log(wage) ~ educ)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.94620 -0.24832 0.03507 0.27440 1.28106
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.973062 0.081374 73.40 <2e-16 ***
## educ 0.059839 0.005963 10.04 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.4003 on 933 degrees of freedom
## Multiple R-squared: 0.09742, Adjusted R-squared: 0.09645
## F-statistic: 100.7 on 1 and 933 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = log(wage) ~ IQ + educ)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.01601 -0.24367 0.03359 0.27960 1.23783
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.6582876 0.0962408 58.793 < 2e-16 ***
## IQ 0.0058631 0.0009979 5.875 5.87e-09 ***
## educ 0.0391199 0.0068382 5.721 1.43e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3933 on 932 degrees of freedom
## Multiple R-squared: 0.1297, Adjusted R-squared: 0.1278
## F-statistic: 69.42 on 2 and 932 DF, p-value: < 2.2e-16IQ = 53.6872 + 3.5338 x educ
log(wage) = 5.9730 + 0.0598 x educ
log(wage) = 5.6583 + 0.0058 x IQ + 0.03912 x educ