Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

These 2024 fantasy football stars are destined for a stat regression in 2025.

The present analysis highlights that conventional regression algorithms can predict sugar content;however, multicollinearity restricts their effectiveness. To improve prediction accuracy and overcome ...

Shrestha, N. (2020). Detecting Multicollinearity in Regression Analysis. American Journal of Applied Mathematics and Statistics, 8, 39-42.

Multicollinearity occurs when two or more variables in a model are highly correlated with each other, which can distort the results of an analysis. Therefore, in residential real estate appraisal, ...

Davino, C., Romano, R. and Vistocco, D. (2022) Handling Multicollinearity in Quantile Regression through the Use of Principal Component Regression. Metron, 80, 153-174.

With severe multicollinearity (condition number = 6,798.28), regression coefficient values were excessively high and in an unfavorable direction for selection.

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.