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Chapter 17: Bivariate Correlation and Regression
Multiple Choice
1. When more than two variables are involved in a research study, the appropriate statistical
tests are called:
a. univariate techniques.
b. spurious techniques.
c. multivariate techniques.
d. one-dimensional techniques
e. bivariate techniques.
2. When two variables are involved in a research study, the appropriate statistical tests are
called:
a. univariate techniques.
b. spurious techniques.
c. multivariate techniques.
d. one-dimensional techniques
e. bivariate techniques.
3. When the degree of association between two variables is studied, the independent
variable is called the:
a. concomitant variable.
b. predictor variable.
c. y-axis variable.
d. multi-dimensional variable.
e. criterion variable.
4. When the degree of association between two variables is studied, the dependent
variable is called the:
a. concomitant variable.
b. predictor variable.
c. x-axis variable.
d. multi-dimensional variable.
e. criterion variable.
5. In a scatter diagram, the ________ variable is plotted on the x-axis, while the ________
variable is plotted on the y-axis.
a. criterion; independent
b. dependent; independent
c. predictor; independent
d. independent; dependent
e. criterion; predictor
6. When the data describing the association between two variables are used to create a
straight-line through the data points such that this line summarizes the relationship
between these variables, this is called a(n):
a. multiple regression procedure.
b. ANOVA procedure.
c. chi-square procedure.
d. least-squares procedure.
e. two-group t-test procedure.
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7. In the regression equation: Y = a + b X, a is the ________ , while b is the ________ .
a. y-intercept; slope
b. predictor; criterion
c. criterion; predictor
d. slope; y-intercept
e. independent variable; dependent variable
8. If bivariate regression, if the mean for Y is 512, the mean for X is 230, and the slope is
2.35, what is the approximate value of the y-intercept?
a. ─33.6
b. + 28.5
c. ─ 13.8
d. + 40.5
e. ─ 28.5
9. If the y-intercept is 2.34 and the slope of the line is 6.23, what is the regression function
for these data?
a. Y = 6.23 + 2.34 X
b. Y = 2.34 + 6.23 X
c. Y = 6.23 ─ 2.34 X
d. Y = 2.34 ─ 6.23 X
e. Y = 2.34 + 2.34 X
10. In regression, R squared is known as the:
a. coefficient of determination.
b. the correlation coefficient.
c. slope of the line.
d. the value for Z.
e. y-intercept.
11. In regression, the statistic that measures the percentage of total variation in Y that is
“explained” buy the variation in X is known as the:
a. correlation coefficient.
b. slope of the line.
c. the value for t.
d. coefficient of determination.
e. y-intercept.
12. The coefficient of determination ranges between ________ and ________ .
a. minus one; plus one
b. zero; one
c. minus one; zero
d. minus two; plus two
e. one; plus one
13. The coefficient of determination equals the explained variation ________ the total
variation.
a. minus
b. times
c. divided by
d. squared; times
e. plus
14. The degree to which changes in one variable are associated with changes in another
variable is known as:
a. chi-square.
b. ANOVA.
c. the dependent variable.
d. the independent variable.
e. correlation.
15. The correlation coefficient can range from ________ to ________ .
a. zero; plus two
b. minus one; plus one
c. minus two; plus two
d. minus one; zero
e. zero; plus one
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True/False
16. Bivariate correlation can be used to prove that one variable caused the change in another
variable.
17. If the relationship between a predictor variable and a criterion variable is strong, the
predictor variable can be used to estimate the criterion variable using regression analysis.
18. Least-squares regression produces a straight line that “fits” the data in the scatter plot
better than any other possible line.
19. In regression analysis, the unexplained variation is a measure of the scatter around the
regression line.
20. The correlation coefficient is the square root of the coefficient of determination.
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