As Table 3 showed that most of the values of correlation coefficient are significant and positive, the variables are associated at various extent. Multicollinearity between variables are examined based on value of variance inflation factor (VIF), where inverse value of tolerance, must not exceed 10.0 (Bowerman and O’Connell, 1990). With reference to regression analyses presented at Table 4, all the variables presented tolerance value slightly below 1.00 and VIF value is slightly higher than 1.00 to dismiss issues pertaining colinearity. In terms of independence of error terms, Ho (2006) suggested that Durbin-Watson statistics of each regression models should be within the range of 2.00 ±0.50. The adjacent error terms of this study are not correlated.