Analisis Regresi

Features Analisis Regresi

This application is used to do regression analysis.
The method used in calculating the coefficient of the independent variable regression equation is the Ordinary Least Sqaure (OLS) method.
After the regression equation is obtained, the user can test the classical assumptions to determine whether the resulting regression equation complies with the BLUE (Best Linear Unbias Estimator) rule.
The classic assumption test consists of tests of normality, multicollinearity, heteroscedasticity and autocorrelation.
If the resulting regression equation has passed the classical assumption test, then the equation becomes reliable and can be used to make predictions.
If it does not pass the classic assumption test, then please check the data used and make improvements.
If you still have problems, please use other analyzes such as Generalized Least Squares (GLS) to make adjustments to the coefficients or parameters in the regression equation.