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

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

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 ...

In general, mathematical coupling occurs when one variable directly or indirectly contains the whole or part of another, and the two variables are then analysed using correlation or regression, 4 ...

Understanding the concept of reversion to the mean can make you better at making decisions with respect to business and investments in particular.

Stuart R. Lipsitz, Traci Leong, Joseph Ibrahim, Steven Lipshultz, A Partial Correlation Coefficient and Coefficient of Determination for Multivariate Normal Repeated Measures Data, Journal of the ...

The efficiency gain of seemingly unrelated regression (SUR) relative to OLS is a decreasing function of correlation of variables across equations. This article examines the efficiency gain for an ...