Linear regression analysis examines the influence of independent variables on dependent variables. This analysis can take the form of simple linear regression or multiple...
For researchers aiming to explore the differences between two sample groups, the t-test is a viable option. According to theory, the t-test can determine...
Multicollinearity testing is one of the assumptions in the least squares method of multiple linear regression. This test is conducted to determine whether there...
In linear regression analysis, residual values play a crucial role. The residual value is the difference between the actual and predicted Y values. The...