We applied multiple linear regression [8], a method of estimating the conditional expected value of one variable Y (the dependent variable) in terms of a set of other variables X (predictor variables). It is a special type of regression in which the dependent variable is a linear function of the "missing data" (regression coefficients W) in the model. A general form of multiple regression can be expressed as