Course TopicsIn this short course we will cover how to analyze simple and multiple linear regression models. You will learn concepts in linear regression such as:1) How to use the F-test to determine ...

You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

Why do a regression analysis? Typically, a regression analysis is done for one of two purposes: In order to predict the value of the dependent variable for individuals for whom some information ...

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

The good news is that you probably don’t need to do the number crunching yourself (hallelujah!) but you do need to correctly understand and interpret the analysis created by your colleagues.

In regression analysis, missing covariate data has been among the most common problems. Frequently, practitioners adopt the so-called complete-case analysis, i.e., performing the analysis on only a ...

We present a disaggregate negative binomial regression procedure for analysis of count data observed for a heterogeneous sample of cross-sections, possibly over some fixed time periods. This procedure ...