Regression analysis is a popular tool in finance, and the r-squared value is an essential part of that analysis.

The R-Squared Growth Rate is a measure of how close the actual earnings come to the earnings growth on a regression basis. In other words, how closely do the earnings conform to the regression line?

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

Peter Frase, opens new tab uses the controversy to rail against non-academic econobloggers, or “wonks”, who parrot the findings of academics: Zach Beauchamp, opens new tab echoes Frase’s ...

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

On R-squared and economic prediction From econbrowser.com Recently I've heard a number of otherwise intelligent people assess an economic hypothesis based on the R2 of an estimated regression. I'd ...

Ordinary Least-Squares Regression To use the AUTOREG procedure, specify the input data set in the PROC AUTOREG statement and specify the regression model in a MODEL statement. Specify the model by ...

The R-Squared Growth Rate is a measure of how close the actual earnings come to the earnings growth on a regression basis. In other words, how closely do the earnings conform to the regression line?