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Home/Archive for: November 2023

Month: November 2023

Data Analysis in R

How to Test for Normality in Linear Regression Analysis Using R Studio

By Kanda Data / Date Nov 21.2023

Testing for normality in linear regression analysis is a crucial part of inferential method assumptions, requiring regression residuals to be normally distributed. Residuals are the differences between observed values and those predicted by the linear regression model.

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Excel Tutorial for Statistics

Descriptive Statistics Analysis in Excel: A Step-by-Step Guide for Researcher

By Kanda Data / Date Nov 15.2023

Descriptive statistics analysis is a crucial step in research, aimed at summarizing and illustrating fundamental information from a dataset. Through descriptive statistics, we can present data in a more informative and easily understandable format.

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Regression Tutorial using Excel

How to Perform Linear Regression Analysis Using Excel | A Complete Step-by-Step Tutorial and Guide

By Kanda Data / Date Nov 05.2023

In today’s post, Kanda Data provides a comprehensive tutorial on how to perform linear regression analysis using Microsoft Excel. Before we dive into the tutorial, the first step is to activate the Analysis ToolPak in Excel. Next, Kanda Data presents a case study example of research data to be analyzed using linear regression analysis.

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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

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  • 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
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