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Standard Stepwise Regression Is a Good Way of Identifying Potential

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Standard stepwise regression is a good way of identifying potential multicollinearity problems since we are able to see the impact on the model at each step that occurs when a new variable is added to the model. For instance, if bringing in a new variable causes the sign to change on a previously entered variable, we have evidence of multicollinearity.


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Housing

The provision of shelter or accommodation, including the structures and related policies that determine how residential spaces are built, allocated, and governed.

Null Hypothesis

A statistical hypothesis that assumes no significant difference or effect exists in the case under investigation.

Significance Level

The probability of rejecting the null hypothesis in a statistical test when it is actually true, a threshold for determining statistical significance.

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