The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

When making large, frequent bets, calculate optimal position sizing if you can, based on the expected payout and your estimate of the correlation between past/expected returns and future returns.

Calculating the Pearson correlation coefficient can be complicated but software makes it much easier. You can use several methods to calculate correlation in Excel.

This article explains the significance of linear correlation coefficients for investors, how to calculate covariance for stocks, and how investors can use correlation to predict the market.

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

I like google docs because it is in a webpage. However, it does lack one thing that both Open Office and Excel have - the 'trendline'. Trendline is a dumb word for linear regression fit. What is a ...

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.

Jun Shao, Hansheng Wang, Sample Correlation Coefficients Based on Survey Data under Regression Imputation, Journal of the American Statistical Association, Vol. 97, No. 458 (Jun., 2002), pp. 544-552 ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

Joint mean-covariance regression modeling with unconstrained parametrization for continuous longitudinal data has provided statisticians and practitioners with a powerful analytical device. How to ...