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Home/Archive for: January 2025

Month: January 2025

How to Calculate the Variance Inflation Factor (VIF) in a Multicollinearity Test for Regression

By Kanda Data / Date Jan 29.2025 / Category Assumptions of Linear Regression

In linear regression analysis, to obtain the best linear unbiased estimator, you need to perform a series of assumption tests. One of the assumption tests required in linear regression is the multicollinearity test.

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How to Determine Alpha Values of 5% and 1% in Hypothesis Testing

By Kanda Data / Date Jan 27.2025 / Category Statistics

If you are conducting research, you certainly have a hypothesis for your study. Hypothesis testing is crucial in research, especially if you’re performing inferential statistical analysis. In statistical hypothesis testing, you are often faced with the choice of using an alpha value of 5% or 1% for your study.

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The Impact of Residual Variance on P-Value in Regression Analysis

By Kanda Data / Date Jan 24.2025 / Category Statistics

When conducting linear regression analysis on your research data, you naturally hope that some independent variables significantly affect the dependent variable. Achieving this indicates that you’ve successfully selected independent variables that are presumed to influence the dependent variable.

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How to Calculate Population Data Standard Deviation Using Excel

By Kanda Data / Date Jan 20.2025 / Category Statistics

Standard deviation can be used to understand how data is distributed relative to its mean. Calculating the standard deviation in research is crucial because it determines the variability of the data.

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Differences in the Formulas for Calculating Standard Deviation for Sample Data and Population Data

By Kanda Data / Date Jan 16.2025 / Category Statistics

Standard deviation is a crucial measure in explaining how data is distributed relative to its mean. Generally, when conducting research and performing descriptive statistical analysis, the value of the standard deviation will often appear.

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How to Perform Multiple Linear Regression Analysis in Excel: Data Analysis Tools

By Kanda Data / Date Jan 12.2025 / Category Multiple Linear Regression

Multiple linear regression analysis is a method used when a researcher aims to estimate the effect of independent variables on a dependent variable. In multiple linear regression, the number of independent variables must be at least two.

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How to Find the Standard Deviation of Sample Data in Excel

By Kanda Data / Date Jan 05.2025 / Category Statistics

One of the metrics in statistics is the standard deviation. When conducting research, the standard deviation is crucial for describing the data you have obtained. It illustrates the dispersion of the data relative to the mean.

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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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  • 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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