Difference between revisions of "Multiple Regression Analysis"

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(Collinearity and Multicollinearity)
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== Collinearity and Multicollinearity ==
 
 
Collinearity is "a condition that exists when two predictors correlate very strongly" (Meyers, Gamst, & Guarino, 2017, p. 189).
 
 
Multicollinearity is a condition that exists when "more than two predictors correlate very strongly" (p. 189).
 
 
 
''Contribution by: Britany Kuslis, WCSU Cohort 8''
 
 
Reference:
 
Meyers, S., Gamst, G., & Guarino, A.J. (2017). ''Applied multivariate research: Design and interpretation.'' Thousand Oaks, CA: Sage Publications.
 

Latest revision as of 09:03, 2 December 2019