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Tag: statistics

Multiple Linear Regression

Finding Coefficients bo, b1, b2, and R Squared Manually in Multiple Linear Regression

By Kanda Data / Date Oct 19.2022

Researchers can choose to use multiple linear regression if the independent variables are at least 2 variables. On this occasion, Kanda Data will write a tutorial on manually calculating the coefficients bo, b1, b2, and the coefficient of determination (R Squared) in multiple linear regression.

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Simple Linear Regression

Calculating Variance, Standard Error, and T-Statistics in Simple Linear Regression

By Kanda Data / Date Oct 14.2022

Statistical hypothesis testing in a study can use the T-statistics in linear regression analysis. The criteria for the acceptance of statistical hypotheses can use a comparison between the T-statistics and the T table or the p-value. Based on the value of T-statistics, a decision can be concluded whether to accept or reject the null hypothesis.

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Simple Linear Regression

How to Calculate ANOVA Table Manually in Simple Linear Regression

By Kanda Data / Date Oct 08.2022

In simple linear regression, the calculation of the Analysis of variance (ANOVA) table is important for researchers to understand. ANOVA table can be used to determine how the influence of the independent variable on the dependent variable simultaneously.

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Simple Linear Regression

Calculate Coefficients bo, b1, and R Squared Manually in Simple Linear Regression

By Kanda Data / Date Oct 02.2022

Simple linear regression can be used to analyze the effect of one variable on another variable. The regression analysis consists of the dependent variable and the independent variable. Simple linear regression only consists of one dependent variable and one independent variable. If in the regression equation the number of independent variables is two or more than two variables, it is no longer called simple linear regression.

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Statistics

How to Distinguish 0.01, 0.05, and 0.10 Significance Levels in Statistics

By Kanda Data / Date Sep 28.2022

A researcher in planning research will develop a hypothesis from the research that will be conducted. The hypothesis is created as a proposition about the population parameters to be tested statistically through samples taken from the population.

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Research Methodology

How to Select Random Sample using Data Analysis in Excel

By Kanda Data / Date Sep 25.2022

The sample is part of the population, including the number and characteristics of the population. In large populations, researchers may not observe all of these populations due to limited funds, labour, and time. Sampling is one solution in research where research results can still represent the characteristics of the observed population.

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Research Methodology

How to determine the minimum sample size to be representative

By Kanda Data / Date Sep 22.2022

Based on the type, research can be divided into survey research and experimental research. In survey research, we generally collect primary data from a population. Researchers can take population data or samples from the population in the study.

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Econometrics

How to Calculate Price Elasticity from Linear Regression Equation

By Kanda Data / Date Sep 13.2022

Researchers and practitioners often calculate elasticity to see the response of a variable due to changes in other variables. The measure of the degree of response or the degree of sensitivity is called elasticity. The elasticity value is often used to predict changes in demand or supply of an item due to changes in the factors that influence it.

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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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