Multiple Regression Analysis

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Collinearity and Multicollinearity

Multicollinearity is a condition that exists when "more than two predictors correlate very strongly" (Meyers, Gamst, & Guarino, 2017, 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.

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