1. Console Editeur : myProg.R 1
> summary(lm(dn$Taille~dn$Sexe+dn$Age))
Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16
> 1 2 3 4 5 6
dn <- read.csv2("EPO2007-Fraude-BasePropre V03.csv")
summary(lm(dn$Taille~dn$Sexe+dn$Age))

2. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

3. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

4. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

5. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

6. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

7. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

8. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

9. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

10. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

11. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

12. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

13. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

14. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

15. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

16. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

17. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

18. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

19. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

20. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

21. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

22. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16

23. Résultat Tableau > summary(lm(dn$Taille~dn$Sexe+dn$Age)) Call:
lm(formula = dn$Taille ~ dn$Sexe + dn$Age)
Residuals:
Min Q Median Q Max
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) <2e-16 ***
dn$SexeHomme <2e-16 ***
dn$Age
---
Signif. codes: 0 ‘***’ ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: on 273 degrees of freedom
(10 observations deleted due to missingness)
Multiple R-squared: , Adjusted R-squared:
F-statistic: on 2 and 273 DF, p-value: < 2.2e-16