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regression [2019/05/20 08:40] – [e.g. Simple Regression] hkimscilregression [2019/09/11 18:53] hkimscil
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-====== Regression ======+====== Regression 회귀분석 ======
 SA [[Multiple Regression]] SA [[Multiple Regression]]
  
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 Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
 > </code> > </code>
 +
 +<code>
 +> ss_total <- var(datavar$Y)*11
 +> round(ss_total)
 +[1] 607698
 +> 316874 + 290824  # 위의 아웃풋에서 Sum Sq for X와 Residuals를 더한 값
 +[1] 607698
 +</code>
 +<WRAP box help>위의 anova 아웃풋 박스에서 R square value를 구할 수 있는가?
 +
 +
 +</WRAP>
 +
 +
 ====== E.g., 3. Simple regression: Adjusted R squared & Slope test ====== ====== E.g., 3. Simple regression: Adjusted R squared & Slope test ======
 This is another example of regression. Here the concept of adjusted r square is explained.  This is another example of regression. Here the concept of adjusted r square is explained. 
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 <WRAP clear /> <WRAP clear />
  
-{{tag> statistics "research methods" regression "multiple regression"}}+{{tag> statistics "research methods" regression "multiple regression" 회귀분석 상관관계 조사방법론}}
  
regression.txt · Last modified: 2023/05/24 08:53 by hkimscil

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