Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

This is a preview. Log in through your library . Abstract This short note takes correlation coefficients as the starting point to obtain inferential results in linear regression. Under certain ...

Learn how the line of best fit in regression analysis shows relationships between variables, how it's calculated, and its ...

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, ...

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

The preferred background for students entering the program is a bachelor's or a master's degree in engineering, science, or mathematics. Entering students will need to have studied the following ...