Inflated Variance: The variance of estimated coefficients can become very large, making it difficult to determine the true effect of each variable. Unstable Estimates: Small changes in the data can lead to significant changes in the model, reducing its reliability. Interpretation Difficulty: Understanding the individual impact of each variable becomes challenging, complicating data interpretation.
