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What is VIF Analysis for Model Coefficients about?

The document presents a regression analysis with various predictors (PM, LS, CI, T, CS, R) impacting the dependent variable QMS. Each predictor shows significant positive relationships with QMS, indicated by low p-values (Sig. = 0.000). Collinearity statistics suggest acceptable levels of multicollinearity among the predictors.

Author

Addis Fikre

Language

EN