attach(swiss)
bs.out2<-lm(Fertility ~., swiss)
summary(bs.out2)
## 
## Call:
## lm(formula = Fertility ~ ., data = swiss)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -15.2743  -5.2617   0.5032   4.1198  15.3213 
## 
## Coefficients:
##                  Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      66.91518   10.70604   6.250 1.91e-07 ***
## Agriculture      -0.17211    0.07030  -2.448  0.01873 *  
## Examination      -0.25801    0.25388  -1.016  0.31546    
## Education        -0.87094    0.18303  -4.758 2.43e-05 ***
## Catholic          0.10412    0.03526   2.953  0.00519 ** 
## Infant.Mortality  1.07705    0.38172   2.822  0.00734 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 7.165 on 41 degrees of freedom
## Multiple R-squared:  0.7067, Adjusted R-squared:  0.671 
## F-statistic: 19.76 on 5 and 41 DF,  p-value: 5.594e-10
library(car)
## 필요한 패키지를 로딩중입니다: carData
serg.res1=residuals(bs.out2)
durbinWatsonTest(serg.res1)
## [1] 1.453536
#3
bs.out3<-lm(Fertility ~Education+Catholic, swiss)
summary(bs.out3)
## 
## Call:
## lm(formula = Fertility ~ Education + Catholic, data = swiss)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -15.042  -6.578  -1.431   6.122  14.322 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 74.23369    2.35197  31.562  < 2e-16 ***
## Education   -0.78833    0.12929  -6.097 2.43e-07 ***
## Catholic     0.11092    0.02981   3.721  0.00056 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 8.331 on 44 degrees of freedom
## Multiple R-squared:  0.5745, Adjusted R-squared:  0.5552 
## F-statistic:  29.7 on 2 and 44 DF,  p-value: 6.849e-09
bs.out4<-lm(Fertility ~Education+Catholic+Infant.Mortality, swiss)
summary(bs.out4)
## 
## Call:
## lm(formula = Fertility ~ Education + Catholic + Infant.Mortality, 
##     data = swiss)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -14.4781  -5.4403  -0.5143   4.1568  15.1187 
## 
## Coefficients:
##                  Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      48.67707    7.91908   6.147 2.24e-07 ***
## Education        -0.75925    0.11680  -6.501 6.83e-08 ***
## Catholic          0.09607    0.02722   3.530  0.00101 ** 
## Infant.Mortality  1.29615    0.38699   3.349  0.00169 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 7.505 on 43 degrees of freedom
## Multiple R-squared:  0.6625, Adjusted R-squared:  0.639 
## F-statistic: 28.14 on 3 and 43 DF,  p-value: 3.15e-10
bs.out5<-lm(Fertility ~Education+Catholic+Infant.Mortality+Agriculture, swiss)
summary(bs.out5)
## 
## Call:
## lm(formula = Fertility ~ Education + Catholic + Infant.Mortality + 
##     Agriculture, data = swiss)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -14.6765  -6.0522   0.7514   3.1664  16.1422 
## 
## Coefficients:
##                  Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      62.10131    9.60489   6.466 8.49e-08 ***
## Education        -0.98026    0.14814  -6.617 5.14e-08 ***
## Catholic          0.12467    0.02889   4.315 9.50e-05 ***
## Infant.Mortality  1.07844    0.38187   2.824  0.00722 ** 
## Agriculture      -0.15462    0.06819  -2.267  0.02857 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 7.168 on 42 degrees of freedom
## Multiple R-squared:  0.6993, Adjusted R-squared:  0.6707 
## F-statistic: 24.42 on 4 and 42 DF,  p-value: 1.717e-10
bs.out6<-lm(Fertility ~Education+Catholic+Infant.Mortality+Agriculture+Examination, swiss)
summary(bs.out6)
## 
## Call:
## lm(formula = Fertility ~ Education + Catholic + Infant.Mortality + 
##     Agriculture + Examination, data = swiss)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -15.2743  -5.2617   0.5032   4.1198  15.3213 
## 
## Coefficients:
##                  Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      66.91518   10.70604   6.250 1.91e-07 ***
## Education        -0.87094    0.18303  -4.758 2.43e-05 ***
## Catholic          0.10412    0.03526   2.953  0.00519 ** 
## Infant.Mortality  1.07705    0.38172   2.822  0.00734 ** 
## Agriculture      -0.17211    0.07030  -2.448  0.01873 *  
## Examination      -0.25801    0.25388  -1.016  0.31546    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 7.165 on 41 degrees of freedom
## Multiple R-squared:  0.7067, Adjusted R-squared:  0.671 
## F-statistic: 19.76 on 5 and 41 DF,  p-value: 5.594e-10