How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
CU Boulder News & Events

Generalized Linear Models and Categorical Data Analysis in R

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
Nature

Erratum: Comparison of regression models with land-use and emission data to predict the spatial distribution of traffic-related air pollution in Rome

Correction to: Journal of Exposure Science and Environmental Epidemiology (2007) 17: XXX–XXX; advanced online publication, 11 April 2007; doi:10.1038/sj.jes.7500571 ...
JSTOR Daily

Linear Regression Analysis of Censored Survival Data Based on Rank Tests

Recently linear rank statistics with censored data have been used as the estimating functions for the regression parameters in the linear model with an unspecified ...
CU Boulder News & Events

Data Science Graduate Certificate

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...
Investopedia

Nonlinear vs. Linear Regression: Key Differences Explained

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia

Regression Basics for Business Analysis

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. If you've ever ...