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Home/Data Analysis Tutorial

Tag: Data Analysis Tutorial

How to Analyze Heteroskedasticity for Time Series Data in Multiple Linear Regression and Its Interpretation

By Kanda Data / Date Dec 14.2024 / Category Data Analysis in R

The heteroskedasticity test is one of the assumption tests in the Ordinary Least Squares (OLS) linear regression method, aimed at ensuring that the residual variance remains constant. If the multiple linear regression equation being tested shows non-constant residual variance, this is referred to as heteroskedasticity.

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Analyzing Rice Production Changes with a Paired t-Test Before and After Training Using Excel

By Kanda Data / Date Jul 04.2024 / Category Excel Tutorial for Statistics

Evaluating the effectiveness of extension programs is crucial to ensure that the interventions implemented provide positive impacts for farmers. One way to measure this effectiveness is by comparing production before and after the program using a paired t-test.

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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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