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c:ms:2023:schedule:w11.lecture.note [2023/05/24 08:32] hkimscilc:ms:2023:schedule:w11.lecture.note [2023/05/24 08:37] (current) hkimscil
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 +====== 하나의 독립변인이 갖는 고유의 영향력 혹은 설명력 파악하기 ======
 +[[:multiple regression]] 참조
 +[[:partial and semipartial correlation]] 참조
 <code> <code>
 datavar <- read.csv("http://commres.net/wiki/_media/regression01-bankaccount.csv" datavar <- read.csv("http://commres.net/wiki/_media/regression01-bankaccount.csv"
Line 105: Line 108:
 summary(lm.y.x2)$r.squared summary(lm.y.x2)$r.squared
 c + common.area c + common.area
 +</code>
  
 +====== 기울기 b에 대한 통계학적인 테스트 ======
 +[[:multiple regression]]에서 앞 쪽에 기울기에 대한 테스트 부분
 +regression 문서에서 [[:regression#eg_3_simple_regressionadjusted_r_squared_slope_test]] 부분
  
 +<code>
 ################################################ ################################################
 # standard error of coefficient의 의미  # standard error of coefficient의 의미 
c/ms/2023/schedule/w11.lecture.note.1684884755.txt.gz · Last modified: 2023/05/24 08:32 by hkimscil

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