Question: If multi-collinearity is too high within a regression model, the coefficient estimates may change erratically in response to small changes in the model data, which

If multi-collinearity is too high within a regression model, the coefficient estimates may change erratically in response to small changes in the model data, which affects calculations regarding individual predictors.

Explain your understanding of multi-collinearity, stating clearly how its effects can be: (i) minimized

(ii) detected.

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