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

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor(s) when both the response and predictors are continuous ...

In a logistic regression model, the coefficients (represented by β in the equation) represent the log odds of the outcome variable being 1 for each one-unit increase in a particular explanatory ...

Regression is probably most explicit example of a statistical model. The regression model provides both a systematic component (y = a + bx) and a random component (errors). Independent sample t-tests ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

A switching regression model of wage equations with deterministic but unknown sample selection is estimated resulting in a significant split between high-hours and low-hours workers that is higher ...

The efficiency gain of seemingly unrelated regression (SUR) relative to OLS is a decreasing function of correlation of variables across equations. This article examines the efficiency gain for an ...