## Tags » OLS

#### ordinary least squares (OLS)

In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model, with the goal of minimizing the differences between the observed responses in some arbitrary… 158 more words

#### How to Create Coefficient Plots in R the Easy Way

Presenting regression analyses as figures (rather than tables) has many advantages, despite what some reviewers may think…

tables2graphs has useful examples including R code, but there’s a simpler way. 510 more words

#### Proof Gauss Markov Theorem

Summary Gauss-Markov Theorem

The Gauss-Markov Theorem is telling us that in a regression model, where the expected value of our error terms is zero, and variance of the error terms is constant and finite and and are uncorrelated for all and the least squares estimator and are unbiased and have minimum variance among all unbiased linear estimators. 366 more words