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

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 ...

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 ...

Offers an alternative to Markowitz’s “Portfolio Selection”. Outlines the nuts and bolts of correlation between past and future performance, or between expected and actual returns. Explains ...

For example, a model might estimate sales based on age and gender. A regression analysis yields an equation that expresses the relationship. See correlation. THIS DEFINITION IS FOR PERSONAL USE ONLY.

Application of Regression Analysis in Business. Regression is a statistical tool used to understand and quantify the relation between two or more variables. Regressions range from simple models to ...

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.