1. Which of the following values of the correlation coefficient indicates the strongest relationship?

a. -.95
b. 0
c. .01
d. .05
e. .90

2. Which of the following statements is true?

a. Correlation always implies causation
b. The coefficient of correlation ranges between 0 and 1
c. In simple linear regression there is only one predictor
d. The Pearson product moment coefficient of correlation requires the relationship between the
dependent and independent variables to be non-linear
e. None of the above

3. Assuming that causation exists, if the coefficient of correlation is .5 then it means that:

a. the coefficient of determination is .71
b. association is negative
c. 25% of the variation in the dependent variable can be explained by the variation in the
independent variable
d. 25% of the variation in the independent variable can be explained by the variation in the
dependent variable
e. none of the above

4. The following assumption is not required for a paired samples t test:

a. Independence
b. Normality
c. Equality of variances
d. None of the above. All three assumptions are required.

5. A researcher interested in investigating the difference in attitudes towards foreigners between those who have a high school education or less, and those who have more than high school education. Which of the following experimental designs should the researcher choose?

a. One sample t test
b. Paired samples t test
c. Independent samples t test
d. Multiple regression
e. All of the above

6. Variables X and Y would be considered perfectly correlated for following values of coefficient of correlation r:

I. r = -1
II. r=0
III. r = +1

a. I only
b. II only
c. III only
d. I, II and III
e. None of the above

7. Two variables X and Y are said to be positively correlated if:

a. Increase in X causes a decrease in Y
b. Decrease in X causes a decrease in Y
c. One of the variables changes but the other always stays constant
d. a and b are both true
e. None of the above statements is true.