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Yearly Archives: 2024

Dummy Variables in Multiple Linear Regression Analysis with the OLS Method

Multiple linear regression analysis is a well-known technique frequently used by researchers to analyze the influence of independent variables on dependent variables. The ordinary...

Interpreting Negative Intercept in Regression

When conducting regression analysis, we obtain the intercept and coefficient estimates for each independent variable. These values, both intercept and coefficients, can be positive...

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...

Calculating Predicted Y and Residual Values in Simple Linear Regression

Residual values in linear regression analysis need to be calculated for several purposes. In linear regression using the ordinary least squares method, one of...

Calculation Formula for the Coefficient of Determination (R Square) in Simple Linear Regression

The coefficient of determination plays a crucial role in regression analysis. It is not surprising that various studies using regression analysis often present the...

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