Canonical Correlation Analysis and Reduced Rank Regression in Autoregressive Models The Annals of Statistics , pp. 1134-1154 (21 pages) Published By: Institute of Mathematical Statistics ...

However, the multiple logistic regression model might suffer collinearity between the two MS scores, and the change in the direction of the association between caries incidence and saliva MS ...

Jie Peng, Pei Wang, Nengfeng Zhou, Ji Zhu, Partial Correlation Estimation by Joint Sparse Regression Models, Journal of the American Statistical Association, Vol. 104, No. 486 (June 2009), pp. 735-746 ...

Correlation vs Regression: Both correlation and regression are two powerful tools of statistics and data analysis used to understand the relationships between variables.

Regression to the mean is an important, yet commonly misunderstood, statistical law. Understanding regression to the mean is an essential mental model for successful investing.