N. Janardhana Raju, Seasonal evaluation of hydro-geochemical parameters using correlation and regression analysis, Current Science, Vol. 91, No. 6 (25 September 2006), pp. 820-826 ...

This paper studies a novel mean-correlation regression for a family of generic discrete responses. Targeting the joint distributions of the discrete longitudinal responses, our regression approach is ...

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

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 ...

Before building my model, I want to step back to offer an easy-to-understand definition of linear regression and why it’s vital to analyzing data. What is linear regression?

Machine learning offers new way of designing chiral crystals Logistic regression analysis model predicts ideal chiral crystal Date: April 10, 2018 Source: Hiroshima University Summary: Engineers ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

Hedonic regression applies regression analysis to estimate the relative impact of the variables that affect the price of a good or service.