Multicollinearity can make the regression coefficients _________.
- Constant
- Impossible to calculate
- Unstable and highly sensitive to changes in the model
- Zero
Multicollinearity can inflate the variance of the regression coefficients, making them unstable. This means that small changes in the data can lead to large changes in the estimates of the coefficients. This instability can make interpretation of the model very difficult.
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