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1. Correlation refers to: a.The casual relationship between 2 variables b.The linear relationship between 2 variables cThe proportion of variance that two variables share d.

1. Correlation refers to:

a.The casual relationship between 2 variables

b.The linear relationship between 2 variables

cThe proportion of variance that two variables share

d. A statistical method that can only be used with a correlational research design

2. If two variables are highly correlated, what do you know?

a.That they always go together

b.That high values on one variable lead to high values on the other variable

c.That there are no other variables responsible for the relationship

d. That changes in one variable are accompanied by predictable changes in the other.

3. The Coefficient of determination tells us:

a.The proportion of variance in X accounted for by the mean of Y

b.The proportion of variance in Y is accounted for by X.

c The mean value of Y

d. The mean value of X

4. In the equation of the straight line, Y=mX+c, the term, m is the

a.Independent variable

b.Dependent variable

c. Intercept

d. Slope

5. Analysis of Variance (ANOVA) is a test for equality of

a. variances

b. means

c. proportions

d. only two parameters

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