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/Multiple Linear Regression

Category: Multiple Linear Regression

Multiple Linear Regression

How to Detect Multicollinearity in Multiple Linear Regression Equations Using the OLS Method

By Kanda Data / Date Sep 15.2023

Multicollinearity testing is one of the assumptions in the least squares method of multiple linear regression. This test is conducted to determine whether there is a strong correlation between independent variables.

Continue Reading
Multiple Linear Regression

How to Interpret Dummy Variables in Ordinary Least Squares Linear Regression Analysis

By Kanda Data / Date Sep 10.2023

Dummy variables, which have non-parametric measurement scales, can be used in specifying linear regression equations. The linear regression equation I’m referring to here is the ordinary least squares (OLS) method. As we already know, most variables are measured on interval and ratio scales in ordinary least squares linear regression equations.

Continue Reading
Multiple Linear Regression

How to Interpret Linear Regression Analysis Output | R Squared, F Statistics, and T Statistics

By Kanda Data / Date Jul 07.2023

Once the researcher has successfully conducted linear regression analysis, the next step is to interpret the results. It is crucial for the researcher to possess sufficient knowledge to interpret the findings. The interpretation based on these results can be used to draw conclusions from the research.

Continue Reading
Multiple Linear Regression

How to Interpret Negative Coefficient Estimations in Linear Regression?

By Kanda Data / Date Mar 28.2023

The ordinary least squares (OLS) method is commonly employed in linear regression analysis to establish the relationship between the independent and dependent variables. Despite its numerous advantages, researchers must meet certain requirements to use this method.

Continue Reading
Multiple Linear Regression

How to Perform Multiple Linear Regression using Data Analysis in Excel

By Kanda Data / Date Feb 19.2023

Researchers have widely used linear regression analysis to analyze a phenomenon. The regression analysis is intended to determine the effect of independent variables on the dependent variable. Researchers use linear regression analysis, and practitioners in the industry also often use linear regression analysis. The output of linear regression analysis can be used for consideration in making business decisions in a company.

Continue Reading
Multiple Linear Regression

Formula to Calculate Analysis of Variance (ANOVA) in Regression Analysis

By Kanda Data / Date Jan 21.2023

In regression analysis, both simple linear regression and multiple linear regression, it is necessary to conduct an analysis of variance calculation to find the statistical F value. The table for the analysis of variance in the regression analysis is called the ANOVA table.

Continue Reading
Multiple Linear Regression

How to Find Residual Value in Multiple Linear Regression using Excel

By Kanda Data / Date Jan 07.2023

Residual values in linear regression analysis can be used to test for normality. In addition, the heteroscedasticity test also requires the variance value of the residual. Therefore, the residual value is important in the linear regression assumption test with the Ordinary Least Square (OLS) method.

Continue Reading
Multiple Linear Regression

How to Analyze Multiple Linear Regression in Excel and Interpret the Output

By Kanda Data / Date Nov 27.2022

Researchers often use linear regression analysis to analyze associative relationships between variables. Multiple linear regression is an analysis that researchers often use because it can analyze the effect of more than two independent variables on the dependent variable.

Continue Reading
Previous 1 2 3 4 5 Next

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

October 2025
M T W T F S S
 12345
6789101112
13141516171819
20212223242526
2728293031  
« Sep    
  • How to Create a Research Location Map in Excel: District, Province, and Country Maps
  • How to Determine the Minimum Sample Size in Survey Research to Ensure Representativeness
  • Regression Analysis for Binary Categorical Dependent Variables
  • How to Sort Values from Highest to Lowest in Excel
  • How to Perform Descriptive Statistics in Excel in Under 1 Minute
Copyright KANDA DATA 2025. All Rights Reserved