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 interpret dummy variable coefficient in regression

Tag: how to interpret dummy variable coefficient in regression

Econometrics

Interpreting the estimation coefficients of dummy variables in linear regression analysis

By Kanda Data / Date Jul 19.2023

Linear regression analysis using the Ordinary Least Squares (OLS) method is the most commonly used technique for examining the influence of one variable on another. There are certain assumptions that need to be met when employing linear regression. Assumption testing is necessary to ensure consistent and unbiased estimation results.

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