Most common error associated with correlation and regression analysis, as emphasized by [16], is confusing when interpreting correlation coefficient result. The most common error in correlation coefficient interpretation is to conclude that changes in one variable causes changes in the other. Correlation coefficient indicates that characteristics vary together or in opposite direction. How-ever, not interpreting the results of Correlation coefficient is another common error. [16] claims that the coefficient must be interpreted in light of the relationship under study and [18] has given different ways to interpret and estimate for coefficient of determination, though based on theory dependent.