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--- multicolinearity [2018/12/26 02:46] – [regression test with factors] hkimscil
+++ multicolinearity [2018/12/26 02:49] (current) – [regression test with factors] hkimscil
@@ Line 316: / Line 316: @@
 </code>
+<code>> lm6 = lm(log(cps$wage) ~ . -age -race -occupation -marr -sector, data = cps)
+> summary(lm6)
+Call:
+lm(formula = log(cps$wage) ~ . - age - race - occupation - marr -
+    sector, data = cps)
+Residuals:
+     Min       1Q   Median       3Q      Max
+-2.13809 -0.28681 -0.00078  0.29376  1.96678
+Coefficients:
+             Estimate Std. Error t value Pr(>|t|)
+(Intercept)  0.731792   0.122217   5.988 3.94e-09 ***
+education    0.094096   0.007942  11.848  < 2e-16 ***
+south       -0.111761   0.042857  -2.608 0.009372 **
+sex1        -0.231978   0.039202  -5.918 5.88e-09 ***
+experience   0.011548   0.001680   6.875 1.75e-11 ***
+union1       0.198360   0.051243   3.871 0.000122 ***
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+Residual standard error: 0.4433 on 528 degrees of freedom
+Multiple R-squared:  0.3011,	Adjusted R-squared:  0.2944
+F-statistic: 45.49 on 5 and 528 DF,  p-value: < 2.2e-16
+> </code>