# All of the following are reasons why Z scores are used to help determine the degree of linear correlation EXCEPT: Z scores give a standard indication of just how high or low each score is The sum of the cross products of Z scores gives you a large positive number if there is a positive correlation and a large negative number if there is a negative correlation Because of the nature of Z scores, the cross product will be positive in all cases Using Z scores allows you to compare scores on different measures

All of the following are reasons why Z scores are used to help determine the degree of linear correlation EXCEPT:
Z scores give a standard indication of just how high or low each score is
The sum of the cross products of Z scores gives you a large positive number if there is a positive correlation and a large negative number if there is a negative correlation
Because of the nature of Z scores, the cross product will be positive in all cases
Using Z scores allows you to compare scores on different measures