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### Multicollinearity
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The second, and much more subtle, issue can occur when performing multivariable
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linear regression. In particular, if you include multiple predictors that are \index{colinear}\index{multicolinear|see{colinear}}
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linear regression. In particular, if you include multiple predictors that are \index{multicollinearity}
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strongly linearly related to one another, the coefficients that describe the
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plane of best fit can be very unreliable—small changes to the data can
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result in large changes in the coefficients. Consider an extreme example using

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