Posted: July 17th, 2016

# Which of the following represents the strongest linear correlation?

1. What is meant by the phrase: strength of the correlation?
How much highs on one variable go with highs on the other
How much highs on one variable go with lows on the others
How much lows on one variable go with lows on the other
All of the above

2. 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

3. When is the correlation coefficient zero?
It is never zero
When there is no linear correlation
When there is a perfect positive linear correlation
When there is a perfect negative linear correlation

4. Which of the following represents the strongest linear correlation?
+.09
+.88
.92
.18

5. You want to study the physical effects of caffeine. To recruit participants for your experiment you post a sign up sheet for anyone willing to participate. This is an example of:
Random selection
Haphazard selection
Stratified selection
Type B selection

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