Category
Multiple Regression
Multiple regression is used to predict a value of a variable based on the value of two or more other variables. This term was first used by Pearson in 1908.
4
articles
R Project
Python
Advanced Modeling
5 years ago
With great powers come great responsibilities: model checks in Bayesian data analysis
Lionel Hertzog
Basic Statistics
7 years ago
Six Sigma DMAIC Series in R – Part 1
Kamal Kumar
Advanced Modeling
7 years ago
Dummy Variable for Examining Structural Instability in Regression: An Alternative to Chow Test
Bidyut Ghosh
Regression Models
8 years ago
R for Publication by Page Piccinini: Lesson 4 – Multiple Regression
Page Piccinini
Categories
Introduction
Getting Data
Data Management
Visualizing Data
Basic Statistics
Regression Models
Advanced Modeling
Programming
