The univariate linear regression analysis attempts to model the relationship among variables by fitting a linear equation to the data. When there is more than one predictor variable (multiple linear regression), the linear fitting is attempted by keeping constant all but one of the predictor variables. It should be understood that a relationship among a response variable and a predictor variable does not necessarily imply that the predictor variable causes the response variable, but that there is some significant association between the two variables