There are two objectives to analyze the correlation between the
variables. The first, the high correlation between independent variables
can doubt multicollinearity. In this circumstance, it can be tested by
tolerance and MAX-VIF coefficients and if the coefficient shows over 0.1
in the former and below 10 in the latter, the variables are regarded as
mutually independent. The second, if there is a high correlation between
independent and dependent variables, it means that the former explains the