Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

His fundraising numbers there have also been quite poor. Clinton, for her part, has raised very little money in Maine, and the model is now more sensitive to the fundraising stuff, so she has been ...

In this investigation, we present simulations to compare the performance of linear and logistic regression models under alternative weighting schemes in a fixed-effects meta-analysis framework ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.