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

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 ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

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?

We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described, which allows for the estimation of the ...

Sliced inverse regression (SIR) and an associated chi-squared test for dimension have been introduced as a method for reducing the dimension of regression problems whose predictor variables are normal ...

Logistic regression with random effects is used to study the relationship between explanatory variables and a binary outcome in cases with nonindependent outcomes. In this paper, we examine in detail ...