2.2 Regression Method
One of the most widely used statistical methods in different science is an implementation of regression techniques to determine the relationship between a dependent variable with one or more independent variables. The dependent variable, response and independent variables are also called explanatory variables. A linear regression model assumes there is a linear relationship (direct line) between the dependent variable and the predictor. Running a regression model is possible by defining the regression model. The linear regression model with the dependent variable Y and independent variable p x1, x2,..., xp is defined as follows [20].