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Home/Ordinary Least Squares Method

Tag: Ordinary Least Squares Method

Statistics

Dummy Variables in Multiple Linear Regression Analysis with the OLS Method

By Kanda Data / Date Jun 02.2024

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 least squares (OLS) method is one of the most commonly used methods in this analysis.

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Simple Linear Regression

Calculating Predicted Y and Residual Values in Simple Linear Regression

By Kanda Data / Date May 23.2024

Residual values in linear regression analysis need to be calculated for several purposes. In linear regression using the ordinary least squares method, one of the assumptions that must be met is that residuals must be normally distributed, hence the necessity to first calculate residual values. However, before calculating the residual values, we need to first calculate the predicted Y values. Therefore, on this occasion, we will discuss how to calculate predicted Y values and residual values.

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