# 31. Which of the following values of the correlation coefficient indicates the strongest relationship? a. -.95 b. 0 c. .01 d. .05 e. .90 32. Which of the following statements is true? a. Correlation always implies causation b. The coefficient of c

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

a. -.95

b. 0

c. .01

d. .05

e. .90

32. 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

33. 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

34. 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.

35. 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

36. 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

37. 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