Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

This task includes performing a linear regression analysis to predict the variable oxygen from the explanatory variables age, runtime, and runpulse. Additionally, the task requests confidence ...

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The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

The developments in linear regression methodology that have taken place during the 25-year history of Technometrics are summarized. Major topics covered are variable selection, biased estimation, ...

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, ...

Heng Lian, Weihua Zhao, Yanyuan Ma, MULTIPLE QUANTILE MODELING VIA REDUCED-RANK REGRESSION, Statistica Sinica, Vol. 29, No. 3 (2019), pp. 1439-1464 ...