Multiple linear regression with the Ordinary Least Squares (OLS) method is one of the statistical techniques used to assess the influence of two or more independent variables on a dependent variable. The OLS method is carried out by minimizing the sum of squared errors between the model’s predictions and the actual values of the dependent …
In linear regression analysis, residual values play a crucial role. The residual value is the difference between the actual and predicted Y values. The actual Y value can be obtained from observations or samples of the dependent variable.
The coefficient of determination in linear regression analysis is crucial in understanding how well the independent variables explain the dependent variable. In linear regression analysis, the coefficient of determination can come in two forms: the coefficient of determination (R square) and the adjusted coefficient of determination (Adjusted R Square).
The Cobb-Douglas production function is often referred to as an exponential production function. Researchers have widely used this Cobb-Douglas production function to empirically analyze various phenomena in production functions.
For researchers, obtaining statistically significant results is the desired outcome. In a research proposal, researchers write the background and research problem. Futhermore, based on the research problem, the research objectives are formulated.
