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Tag: statistics

Excel Tutorial for Statistics

Quantitative data analysis using data analysis toolpak in Excel

By Kanda Data / Date Sep 08.2022

Researchers very well know Excel to help research data analysis. So far, excel is mainly used to input data and then present the data in a more informative display. Excel is generally used more for descriptive statistical analysis, creating tables of research results, and creating graphs.

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Multiple Linear Regression

Multiple Linear Regression Analysis for Time Series Data in Excel

By Kanda Data / Date Sep 02.2022

The selection of data analysis methods is important in determining the study’s results. Data analysis methods not following statistical theory and scientific principles can potentially cause errors in making research conclusions. The research hypotheses prepared at the beginning of the proposal need to be tested statistically so that the correct findings can be obtained. Therefore, a basic understanding of statistics needs to be understood by those conducting research activities.

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Excel Tutorial for Statistics

The Best Guide for Optimizing Data Analysis in Excel

By Kanda Data / Date Aug 28.2022

In addition to understanding the research topic, researchers also need basic data analysis knowledge. Excel is one of the tools often used by researchers to analyze research data. Researchers can use excel for various data analyses. On this occasion, Kanda Data will write the best guide for optimizing data analysis in excel.

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Econometrics

How to Solve Multicollinearity in Multiple Linear Regression with OLS Method

By Kanda Data / Date Aug 24.2022

Multiple linear regression equations must fulfill the required assumptions to obtain the best linear unbiased estimator. Several assumptions in linear regression using the ordinary least square (OLS) method must be met, one of which is non-multicollinearity.

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Econometrics

How to Use Dummy Variables in Linear Regression with Ordinary Least Square Method

By Kanda Data / Date Aug 14.2022

Many researchers have chosen linear regression using the ordinary least square (OLS) method because it can obtain the best linear unbiased estimator. To get the best linear unbiased estimator, researchers need to test the assumptions required for linear regression using the OLS method.

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Statistics

Finding the Best Regression Model Based on R Square

By Kanda Data / Date Aug 02.2022

The regression model specification is an important step that researchers must consider. The exact specification will get the best regression model and represent real phenomena well.

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Correlation Test

Correlation Analysis for Variables Measured with a Likert Scale (Ordinal Scale)

By Kanda Data / Date Jul 20.2022

Many researchers choose to use correlation analysis to know the relationship between variables. The simpler analysis technique causes correlation analysis to be widely used by researchers.

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Simple Linear Regression

If the estimated regression coefficient is negative, what does it mean?

By Kanda Data / Date Jul 13.2022

Many researchers chose linear regression analysis to reveal how the influence of the independent variable on the dependent variable. Researchers can make estimates using the data they have to interpret the results.

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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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