Monday, August 12, 2024

### What to Do If the Regression Coefficient Is Negative?

Linear regression is one of the most commonly used statistical analysis techniques to understand the impact of independent variables on a dependent variable. In...

### How to Find Residuals Using the Data Analysis ToolPak in Excel

Residuals are the differences between the observed values of the dependent variable and the predicted values from the dependent variable. Residuals are an important...

### The Difference Between Simultaneous Equation System Model and Linear Regression Equation

We might all be familiar with linear regression equations, but how many of us have delved deeper into the simultaneous equation system model? It's...

### Analyzing Rice Production Changes with a Paired t-Test Before and After Training Using Excel

Evaluating the effectiveness of extension programs is crucial to ensure that the interventions implemented provide positive impacts for farmers. One way to measure this...

### Linear Regression Residual Calculation Formula

In linear regression analysis, testing residuals is a very common practice. One crucial assumption in linear regression using the least squares method is that...

### Testing and Interpreting Homoscedasticity in Simple Linear Regression with R Studio

Homoscedasticity is a crucial assumption in ordinary least square (OLS) linear regression analysis. This assumption refers to the consistent variability of regression residuals across...

### How to Conduct a Normality Test in Simple Linear Regression Analysis Using R Studio and How to Interpret the Results

The Ordinary Least Squares (OLS) method in simple linear regression analysis is a statistical technique aimed at understanding the influence of an independent variable...

### Simple Linear Regression Analysis Using R Studio and How to Interpret It

In the real world, accurate decisions need to be based on a deep understanding of data. One tool for processing and elaborating data is...

### How to Test for Normality in Linear Regression Analysis Using R Studio

Testing for normality in linear regression analysis is a crucial part of inferential method assumptions, requiring regression residuals to be normally distributed. Residuals are...

### How to Test Normality of Residuals in Linear Regression and Interpretation in R (Part 4)

The normality test of residuals is one of the assumptions required in the multiple linear regression analysis using the ordinary least square (OLS) method....

### How to Write an Abstract of an Article for Publication in a Scientific Journal

Skills in writing articles, nowadays are increasingly needed. A researcher is not only required to be able to produce novelty in research activities but...