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RegressionAnalysisProcedure
Regression Analysis Procedure
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Contents
1
.
Pre-asumption 체크
1.1
.
Case vs. IVs Ratio
1.2
.
Normality, Linearity, Homoscedasticity, and Independence of residuals
1.3
.
Outlier
1.4
.
Mutlicollinearity and Singularity
2
.
Regression test
2.1
.
Standard
2.2
.
Sequential
You should read
Correlation
,
Regression
,
Multiple Regression
along with this article.
1
.
Pre-asumption 체크
¶
1.1
.
Case vs. IVs Ratio
¶
Minimum: 20 times per IV
e.g., 3 IVs -> 60 cases minimum required.
1.2
.
Normality, Linearity, Homoscedasticity, and Independence of residuals
¶
Normality
Linearity
Homoscedasticity
I
ndependenceOfResiduals
1.3
.
Outlier
¶
Examining outliers
1.4
.
Mutlicollinearity and Singularity
¶
2
.
Regression test
¶
독립변인 중에서 특이한 것에 대해서 살펴보고 싶을 때 sequential regression을 사용한다. 컴퓨터의 판단에 맡길 때도 있는데, 이를 statistical regression이라고 하며, 이도
sequential regression
의 일종으로 보아도 된다.
2.1
.
Standard
¶
2.2
.
Sequential
¶
Sequential Regression
CategoryResearchMethods
CategoryStatistics
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