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--- r:multiple_regression [2019/11/08 09:21] – [Partial, Semi-partial Correlation and R squared value] hkimscil
+++ r:multiple_regression [2019/11/08 09:28] – hkimscil
@@ Line 403: / Line 403: @@
 이 둘의 합은 ''1.726415562'' 로 1을 넘는다. 즉, 각 독립변인의 영향력은 중복 (독립변인 간의 상관관계) 되어 있다는 뜻.
+{{20191108_092352.jpg?400}}
 <code>install.packages("ppcor")
@@ Line 482: / Line 485: @@
 > </code>
-<code>
+<code>> anova(lm.stock.int, lm.stock)
-> anova(lm.stock.int, lm.stock.unemp)
-Analysis of Variance Table
-Model 1: Stock_Index_Price ~ Interest_Rate
-Model 2: Stock_Index_Price ~ Unemployment_Rate
-  Res.Df    RSS Df Sum of Sq F Pr(>F)
-     22 126953
-     22 152491  0    -25538
-</code>
-<code>
-> anova(lm.stock.int, lm.stock)
 Analysis of Variance Table
@@ Line 504: / Line 495: @@
 ---
 Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-> anova(lm.stock.enemp, lm.stock)
-Error in anova(lm.stock.enemp, lm.stock) :
+</code>
-  object 'lm.stock.enemp' not found
+<code>
 > anova(lm.stock.unemp, lm.stock)
 Analysis of Variance Table