One of the simplest prediction methods is linear regression, in which we attempt to find a 'best line' through the data points. Correlation and linear regression are closely linked—they both ...

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

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Results from classic linear regression regarding the effect of adjusting for covariates upon the precision of an estimator of exposure effect are often assumed to apply more generally to other types ...

The 1941–1970 cooling trend is most statistically significant. The primary purpose of utilizing linear regression as a time series method is for visualization of climate change.