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c:ma:2019:multiple_regression_exercise [2019/11/08 10:39] – [Ex. 2] hkimscilc:ma:2019:multiple_regression_exercise [2019/11/08 10:51] – [Ex. 2] hkimscil
Line 51: Line 51:
 </code> </code>
  
 +
 +<code>> lm.sal.sex <- lm(salary ~ sex, data=Salaries)
 +> summary(lm.sal.sex)
 +
 +Call:
 +lm(formula = salary ~ sex, data = Salaries)
 +
 +Residuals:
 +   Min     1Q Median     3Q    Max 
 +-57290 -23502  -6828  19710 116455 
 +
 +Coefficients:
 +            Estimate Std. Error
 +(Intercept)   101002       4809
 +sexMale        14088       5065
 +            t value Pr(>|t|)    
 +(Intercept)  21.001  < 2e-16 ***
 +sexMale       2.782  0.00567 ** 
 +---
 +Signif. codes:  
 +  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’
 +  0.05 ‘.’ 0.1 ‘ ’ 1
 +
 +Residual standard error: 30030 on 395 degrees of freedom
 +Multiple R-squared:  0.01921, Adjusted R-squared:  0.01673 
 +F-statistic: 7.738 on 1 and 395 DF,  p-value: 0.005667
 +</code>
 +
 +<code>> lm.sal.rank <- lm(salary ~ rank, data=Salaries)
 +> summary(lm.sal.rank)
 +
 +Call:
 +lm(formula = salary ~ rank, data = Salaries)
 +
 +Residuals:
 +   Min     1Q Median     3Q    Max 
 +-68972 -16376  -1580  11755 104773 
 +
 +Coefficients:
 +              Estimate Std. Error
 +(Intercept)      80776       2887
 +rankAssocProf    13100       4131
 +rankProf         45996       3230
 +              t value Pr(>|t|)    
 +(Intercept)    27.976  < 2e-16 ***
 +rankAssocProf   3.171  0.00164 ** 
 +rankProf       14.238  < 2e-16 ***
 +---
 +Signif. codes:  
 +  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’
 +  0.05 ‘.’ 0.1 ‘ ’ 1
 +
 +Residual standard error: 23630 on 394 degrees of freedom
 +Multiple R-squared:  0.3943, Adjusted R-squared:  0.3912 
 +F-statistic: 128.2 on 2 and 394 DF,  p-value: < 2.2e-16
 +
 +> </code>
 +
 +<code>> summary(lm.sal.many)
 +
 +Call:
 +lm(formula = salary ~ yrs.service + rank + discipline + sex, 
 +    data = Salaries)
 +
 +Residuals:
 +   Min     1Q Median     3Q    Max 
 +-64202 -14255  -1533  10571  99163 
 +
 +Coefficients:
 +              Estimate Std. Error t value Pr(>|t|)    
 +(Intercept)   68351.67    4482.20  15.250  < 2e-16 ***
 +yrs.service     -88.78     111.64  -0.795 0.426958    
 +rankAssocProf 14560.40    4098.32   3.553 0.000428 ***
 +rankProf      49159.64    3834.49  12.820  < 2e-16 ***
 +disciplineB   13473.38    2315.50   5.819 1.24e-08 ***
 +sexMale        4771.25    3878.00   1.230 0.219311    
 +---
 +Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
 +
 +Residual standard error: 22650 on 391 degrees of freedom
 +Multiple R-squared:  0.4478, Adjusted R-squared:  0.4407 
 +F-statistic: 63.41 on 5 and 391 DF,  p-value: < 2.2e-16
 +
 +> </code>
 ====== Discussion ====== ====== Discussion ======
 Common topics Common topics
c/ma/2019/multiple_regression_exercise.txt · Last modified: 2021/11/11 10:14 by hkimscil

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