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Understanding the Essence of Assumption Testing in Linear Regression Analysis: Prominent Differences between Cross-Sectional Data and Time Series Data

Linear regression analysis has become one of the primary tools for researchers to explore the influence of independent variables on dependent variables. The Ordinary Least Squares (OLS) method has been a mainstay in conducting this linear regression analysis.

Understanding the Difference Between Paired T-Test and Wilcoxon Test in Statistics


In the realm of statistics, associative tests play a crucial role in examining differences, relationships, and influences between variables. One common form of associative test is the test for differences, which aims to compare the means of two or more sample groups.

The data that cannot be transformed using natural logarithm (Ln)

In quantitative data analysis, to ensure unbiased and consistent estimations, it’s important to meet several assumptions required in the conducted tests. However, sometimes, the test results may not meet the desired expectations.

Calculation Method of Net Present Value (NPV) in Project Feasibility Studies

One of the indicators to evaluate the profit potential of an investment project is Net Present Value (NPV). The calculation of NPV forms a strong foundation in project feasibility analysis, enabling business owners to determine whether a project is feasible to pursue or not.

How to Determine the F-Table Value (F Critical Value) in Excel

In assessing the fit of a linear regression model, researchers need to find the critical values from the F-distribution (F-table). Typically, researchers often use these tables to evaluate the results of regression analysis. However, with technological advancements, determining the F-table value can easily be obtained using Excel.