KANDA DATA

  • Home
  • About Us
  • Contact
  • Sitemap
  • Privacy Policy
  • Disclaimer
  • Bimbingan Online Kanda Data
Menu
  • Home
  • About Us
  • Contact
  • Sitemap
  • Privacy Policy
  • Disclaimer
  • Bimbingan Online Kanda Data
Home/How to perform heteroscedasticity test in R

Tag: How to perform heteroscedasticity test in R

Data Analysis in R

How to Test Heteroscedasticity in Linear Regression and Interpretation in R (Part 3)

By Kanda Data / Date Apr 30.2023

One of the assumptions required in Ordinary Least Squares (OLS) linear regression is that the variance of the residuals is constant. This assumption is often referred to as the homoscedasticity assumption. Some researchers are more familiar with the term heteroscedasticity test.

Continue Reading

Categories

  • Article Publication
  • Assumptions of Linear Regression
  • Comparison Test
  • Correlation Test
  • Data Analysis in R
  • Econometrics
  • Excel Tutorial for Statistics
  • Multiple Linear Regression
  • Nonparametric Statistics
  • Profit Analysis
  • Regression Tutorial using Excel
  • Research Methodology
  • Simple Linear Regression
  • Statistics

Popular Post

February 2026
M T W T F S S
 1
2345678
9101112131415
16171819202122
232425262728  
« Jan    
  • Alternative to the t-test When Data Are Not Normally Distributed
  • When Should Natural Logarithmic Data Transformation Be Applied?
  • Should Data Normality Testing Always Be Performed in Statistical Analysis?
  • Differences in Nominal, Ordinal, Interval, and Ratio Data Measurement Scales for Research
  • Reasons Why the R-Squared Value in Time Series Data Is Higher Than in Cross-Section Data
Copyright KANDA DATA 2026. All Rights Reserved