The purpose of this article is to provide researchers, editors, and readers with a set of guidelines for what to expect in an article using logistic regression techniques. Tables, figures, and charts ...

Longitudinal data frequently occur in many studies, such as longitudinal follow-up studies. To develop statistical methods and theory for the analysis of these data, independent or noninformative ...

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

Learn to apply multiple regression techniques to predict continuous outcomes, use logistic regression for binary outcomes, and employ Cox regression for survival analysis.

Nonparametric statistics are statistical methods that do not assume data follows a specific distribution model defined by a limited number of parameters, allowing for greater flexibility in analysis.

Residual standard deviation is a statistical term used to describe the difference in standard deviations of observed values vs. predicted values as shown by points in a regression analysis.

Next, have Excel run the regression on the two columns of return data you generated. Under the Data menu, the Data Analysis button allows you to select Regression.