1. Correlation refers to:

The casual relationship between 2 variables

The linear relationship between 2 variables

The proportion of variance that two variables share

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

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

That they always go together

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

That there are no other variables responsible for the relationship

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

3. The Coefficient of determination tells us:

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

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

The mean value of Y

The mean value of X

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

Independent variable

Dependent variable

Intercept

Slope

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

variances

means

proportions

only two parameters