Line of Best Fit in Regression Analysis: Definition & Calculation

Learn how the line of best fit in regression analysis shows relationships between variables, how it's calculated, and its ...
JSTOR Daily

Linear Regression with Non-Constant, Unknown Error Variances: Sampling Experiments with Least Squares, Weighted Least Squares and Maximum Likelihood Estimators

John A. Jacquez, Frances J. Mather and Charles R. Crawford The theory of simple linear regression is extended to the case of non-uniform error variances for the ...
Investopedia

Least Squares Criterion: What it is, How it Works

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
JSTOR Daily

Approximation of backward stochastic differential equations using Malliavin weights and least-squares regression

We design a numerical scheme for solving a Dynamic Programming equation with Malliavin weights arising from the time-discretization of backward stochastic differential equations with the integration ...