JSTOR Daily

Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...
technologynetworks

Linear Regression

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 ...
JSTOR Daily

On the Estimation of Hierarchical Latent Regression Models for Large-Scale Assessments

To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The ...
Investopedia

Linear vs. Multiple Regression: What's the Difference?

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...
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Predict Trends with Linear Regression in Google Sheets (No Code Needed)

Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...