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r:semipartial [2018/11/23 15:34] – [m1] hkimscilr:semipartial [2018/11/26 09:55] – [m2] hkimscil
Line 177: Line 177:
 Resid   0.000   0.482 0.000 1.000 Resid   0.000   0.482 0.000 1.000
 </code> </code>
 +  * 상관관계 (CLEP * MathGPA) = .876 으로 SAT-Q와 MathGPA보다 높다. 
 +  * 종속변인인 MathGPA와 Resid와의 상관관계는 .482
 +  * Pred value와 CLEP(독립변인)과는 상관관계 1. 
 +  * Resid는 독립변인과도 또한 Pred와도 상관관계 없음 (0).
 +
 +
 <code> <code>
 data3 data3
Line 193: Line 199:
 10  550   31 10  550   31
 </code> </code>
 +
 +<code>
 +mall <- lm(data2$MathGPA ~ data2$CLEP + data2$SATQ)
 +</code>
 +
 +<code>> mall <- lm(data$MathGPA ~ data$CLEP + data$SATQ)
 +
 +> mall
 +
 +Call:
 +lm(formula = data$MathGPA ~ data$CLEP + data$SATQ)
 +
 +Coefficients:
 +(Intercept)    data$CLEP    data$SATQ  
 +   1.160756     0.072929    -0.000702  
 +
 +> summary(mall)
 +
 +Call:
 +lm(formula = data$MathGPA ~ data$CLEP + data$SATQ)
 +
 +Residuals:
 +     Min       1Q   Median       3Q      Max 
 +-0.19789 -0.12897 -0.00053  0.13117  0.22640 
 +
 +Coefficients:
 +             Estimate Std. Error t value Pr(>|t|)  
 +(Intercept)  1.160756   0.408112    2.84    0.025 *
 +data$CLEP    0.072929   0.025380    2.87    0.024 *
 +data$SATQ   -0.000702   0.001256   -0.56    0.594  
 +---
 +Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
 +
 +Residual standard error: 0.171 on 7 degrees of freedom
 +Multiple R-squared:  0.778, Adjusted R-squared:  0.714 
 +F-statistic: 12.2 on 2 and 7 DF,  p-value: 0.00518
 +
 +> </code>
 +====== m3 ======
 +
 <code> <code>
 m3 <- lm(CLEP ~ SATQ, data=data3) m3 <- lm(CLEP ~ SATQ, data=data3)
r/semipartial.txt · Last modified: 2018/11/26 09:59 by hkimscil

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