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Author: Kanda Data

Statistics

How to Write and Test Statistical Hypotheses in Simple Linear Regression

By Kanda Data / Date May 06.2022

We need to develop hypotheses when conducting research. A hypothesis is a provisional assumption or statement of the research. The hypothesis needs to be proven, whether true or false, through the research process.

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Statistics

How to Reverse Natural Logarithm to Initial Data in Excel

By Kanda Data / Date May 03.2022

Researchers often use the natural logarithm form (Ln) transformation. In the previous article, I have written about How to Transform Data into Natural Logarithm (Ln) in Excel.

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Statistics

How to Transform Data into Natural Logarithm (Ln) in Excel

By Kanda Data / Date Apr 29.2022

You may have seen research data transformed into other forms in analyzing research data. The data transformation is determined by changing the measurement scale of the original data into another form.

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Statistics

Create Residual and Y Predicted in Excel

By Kanda Data / Date Apr 26.2022

Residual and predicted Y have an important role in linear regression analysis using the Ordinary Least Square (OLS) method. Several OLS linear regression method assumptions were conducted to test the residuals, including normally distributed residuals and constant residual variance.

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Multiple Linear Regression

Multiple Linear Regression Analysis and Interpreting the Output in Excel

By Kanda Data / Date Apr 22.2022

We can use multiple linear regression analysis to estimate the effect of the independent variable on the dependent variable. Multiple linear regression using at least two independent variables.

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Correlation Test

The Fundamental Differences of Pearson Correlation, Spearman Rank, Kendall tau, and Chi-Square

By Kanda Data / Date Apr 19.2022

The associative correlation test between variables is currently the most frequently chosen by researchers, lecturers, and students to answer research hypotheses. There are several choices of correlation tests that can be chosen, but the selection of correlation tests must follow statistical rules.

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Multiple Linear Regression

How to Calculate Variance, Standard Error, and T-Value in Multiple Linear Regression

By Kanda Data / Date Apr 15.2022

Finding variance, standard error, and t-value was an important stage to test the research hypothesis. The formula used in multiple linear regression is different from simple linear regression. On this occasion, I will discuss calculating the multiple linear regression with two independent variables.

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Multiple Linear Regression

How to Determine ANOVA Table in Multiple Linear Regression

By Kanda Data / Date Apr 12.2022

The statistical software will also display an ANOVA table in multiple linear regression. To understand well, you need to learn how to determine the ANOVA table manually. In this tutorial, I will use Excel.

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  • Interpretation of Negative Estimated Coefficients: A Case Study of the Effect of Price on Demand
  • Alternative to the t-test When Data Are Not Normally Distributed
  • When Should Natural Logarithmic Data Transformation Be Applied?
  • Should Data Normality Testing Always Be Performed in Statistical Analysis?
  • Differences in Nominal, Ordinal, Interval, and Ratio Data Measurement Scales for Research
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