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--- partial_and_semipartial_correlation [2019/05/23 10:24] – [Partial cor] hkimscil
+++ partial_and_semipartial_correlation [2019/05/23 10:27] – [regression gpa against sat] hkimscil
@@ Line 48: / Line 48: @@
 cors <- cor(tests)
 round(cors,3)
 </code>
+<code>       sat  clep   gpa
+sat  1.000 0.875 0.718
+clep 0.875 1.000 0.876
+gpa  0.718 0.876 1.000
+> </code>
 ===== regression gpa against sat =====
@@ Line 80: / Line 85: @@
 {{lm.gpa.sat.png?400}}
 Note that .718 = correlation coefficient of sat and gpa.
+<code>> sqrt(0.5156)
+[1] 0.7180529</code>
 <code>> cor.gpa.sat <- as.data.frame(cbind(sat, gpa, lm.gpa.sat$fitted.values, lm.gpa.sat$residuals))