Differences

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--- partial_and_semipartial_correlation [2025/06/04 08:28] – [e.g. Using ppcor.test with 4 var] hkimscil
+++ partial_and_semipartial_correlation [2025/06/04 08:37] (current) – [X1과 X2 간의 상관관계가 심할 때 Regression 결과의 오류] hkimscil
@@ Line 707: / Line 707: @@
 reg.all
-{{:pasted:20250604-082250.png?300}}
+{{:pasted:20250604-082250.png?600}}
 reg.1
-{{:pasted:20250604-082519.png?300}}
+{{:pasted:20250604-082519.png?600}}
 reg.2
-{{:pasted:20250604-082635.png?300}}
+{{:pasted:20250604-082635.png?600}}
 reg.3
-{{:pasted:20250604-082740.png?300}}
+{{:pasted:20250604-082740.png?600}}
 또한 세 독립변인이 공통적으로 설명하는 부분은
   * 0.39
@@ Line 878: / Line 878: @@
 m <- lm(weights ~ LSS + RSS)
-## F-value is very small, but neither LSS or RSS are significant
+## F-value is very large, and significant.
+# but neither LSS or RSS are significant with t-test
 summary(m)