Ch8 Test Bank Correlation And Linear Regression - Political Analysis 6e Complete Test Bank by Philip H. Pollock. DOCX document preview.
Chapter 8: Correlation and Linear Regression
Test Bank
Multiple Choice
1. A researcher working with data about individuals’ ages and their income wants to know how income is related to age. Does income go up or down or remain constant with age? Which analysis would help the researcher understand this relationship best?
A. correlation analysis
B. regression analysis
C. means comparison analysis
D. logistic regression analysis
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Application
Answer Location: Introduction
Difficulty Level: Medium
2. A researcher is working with two variables measured at the interval level. Which statistical tool should the researcher use?
A. χ2 analysis
B. correlation analysis
C. proportion analysis
D. cross-tabulation
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Application
Answer Location: Introduction
Difficulty Level: Medium
3. The relationship between two variables is called ______.
A. association
B. affiliation
C. correlation
D. regression
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Correlation
Difficulty Level: Easy
4. A graphical display where the independent variable is measured along the horizontal axis and the dependent variable is measured along the vertical axis is called a ______.
A. bar graph
B. line graph
C. pie chart
D. scatterplot
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Knowledge
Answer Location: Correlation
Difficulty Level: Easy
5. In a scatterplot, the ______ variable is measured on the horizontal axis and the ______ variable is on the vertical axis.
A. dependent; independent
B. independent; dependent
C. dependent; intervening
D. control; dependent
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Correlation
Difficulty Level: Easy
6. A Pearson’s r value of .51 signifies a ______.
A. weak negative relationship
B. weak positive relationship
C. moderate positive relationship
D. moderate negative relationship
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Application
Answer Location: Correlation
Difficulty Level: Easy
7. The formula y = a + b(x) represents the ______.
A. Pearson’s r
B. regression coefficient
C. correlation coefficient
D. regression line
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Knowledge
Answer Location: Bivariate Regression
Difficulty Level: Easy
8. A researcher is studying her students’ test scores and the amount of coffee (number of cups) consumed before the exam. In the equation y = a + b(x) which variable represents the test scores?
A. y
B. a
C. b
D. x
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Application
Answer Location: Bivariate Regression
Difficulty Level: Easy
9. In the equation y = a + b(x) which variable represents the y-intercept?
A. y
B. a
C. b
D. x
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Knowledge
Answer Location: Bivariate Regression
Difficulty Level: Easy
10. In the equation y = a + b(x), b stands for the ______.
A. independent variable
B. correlation coefficient
C. regression coefficient
D. dependent variable
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Knowledge
Answer Location: Bivariate Regression
Difficulty Level: Easy
11. The regression coefficient is also known as the ______.
A. correlation coefficient
B. R2
C. test value
D. slope of the line
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Comprehension
Answer Location: Bivariate Regression
Difficulty Level: Easy
12. A researcher conducting a study of turnout in the fifty states finds a regression coefficient of .35. This tells the researcher that ______.
A. turnout increases by .35 for each one unit increase in the independent variable
B. turnout increases by .35 for each year a person ages
C. turnout decreases by .35 for each one unit increase in the independent variable
D. turnout increases by .35 for each one unit decrease in the independent variable
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Application
Answer Location: Bivariate Regression
Difficulty Level: Medium
13. R2 always has a value between ______.
A. 1 and 2
B. –1 and 1
C. –1 and 0
D. 0 and 1
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Knowledge
Answer Location: R-Square
Difficulty Level: Easy
14. A researcher wants to estimate voter turnout for different regions of the country. She divides the country into four regions. How many dummy variables will she have in the equation?
A. 1
B. 2
C. 3
D. 4
Learning Objective: 8-3: How to perform and interpret dummy variable regression.
Cognitive Domain: Application
Answer Location: Regression with Multiple Dummy Variables
Difficulty Level: Medium
15. One reason to perform multiple regression analysis is to ______ for the effects of additional independent variables.
A. eliminate
B. alleviate
C. minimize
D. control
Learning Objective: 8-4: How to use multiple regression to make controlled comparisons.
Cognitive Domain: Comprehension
Answer Location: Multiple Regression
Difficulty Level: Easy
16. Multiple regression analysis produces a ______ for each independent variable in the model.
A. partial regression coefficient
B. partial correlation coefficient
C. partial χ2
D. partial adjusted R-square
Learning Objective: 8-4: How to use multiple regression to make controlled comparisons.
Cognitive Domain: Comprehension
Answer Location: Multiple Regression
Difficulty Level: Easy
17. Multiple regression is both ______ and ______.
A. linear; interactive
B. linear; additive
C. linear; regressive
D. linear; spurious
Learning Objective: 8-5: How to analyze interaction relationships using multiple regression.
Cognitive Domain: Comprehension
Answer Location: Interaction Effects in Multiple Regression
Difficulty Level: Easy
18. Which of the following formalizes the intuitive judgment made about the direction and strength of a relationship?
A. Pearson’s r
B. χ2
C. Pearson’s correlation coefficient
D. regression coefficient
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Correlation
Difficulty Level: Easy
19. If no relationship exists between variables, Pearson’s r takes on the value of ______.
A. –1
B. 0
C. +1
D. no value
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Correlation
Difficulty Level: Easy
20. A bivariate analysis is used to analyze the relationship between a(n) ______.
A. interval-level dependent variable and any independent variable at any level
B. ordinal-level dependent variable and any independent variable at any level
C. ratio-level dependent variable and any independent variable at any level
D. nominal-level dependent variable and any independent variable at any level
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Comprehension
Answer Location: Bivariate Regression
Difficulty Level: Easy
True/False
1. Correlation analysis produces a statistic that estimates the size of the effect of the independent variable on the dependent variable.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Knowledge
Answer Location: Introduction
Difficulty Level: Easy
2. Pearson’s r is a measure of association known as a correlation coefficient.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Knowledge
Answer Location: Correlation
Difficulty Level: Easy
3. Pearson’s r is used to gauge the strength of a relationship between two interval-level variables when performing correlation analysis.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Introduction
Difficulty Level: Easy
4. The size and effect of the independent variable on the dependent variable is estimated by the regression coefficient.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Introduction
Difficulty Level: Easy
5. In a multiple regression equation, the interaction effect is the multiplicative product of one independent variable.
Learning Objective: 8-5: How to analyze interaction relationships using multiple regression.
Cognitive Domain: Comprehension
Answer Location: Interaction Effects in Multiple Regression
Difficulty Level: Easy
6. If two variables are very closely related to one another they are said to have parsimony.
Learning Objective: 8-5: How to analyze interaction relationships using multiple regression.
Cognitive Domain: Knowledge
Answer Location: Some Practical Issues: Multicollinearity, Parsimony, and Missing Data
Difficulty Level: Easy
7. When two independent variables are closely related to each other it is difficult to measure the effects of each on the dependent variable.
Learning Objective: 8-5: How to analyze interaction relationships using multiple regression.
Cognitive Domain: Comprehension
Answer Location: Some Practical Issues: Multicollinearity, Parsimony, and Missing Data
Difficulty Level: Easy
8. The y-intercept is the value of y when x equals zero.
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Comprehension
Answer Location: Bivariate Regression
Difficulty Level: Easy
9. In the equation y = a + b(x), x represents the value of the dependent variable.
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Comprehension
Answer Location: Bivariate Regression
Difficulty Level: Easy
10. Regression reveals the direction of the relationship between an independent variable and a dependent variable.
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Comprehension
Answer Location: Bivariate Regression
Difficulty Level: Easy
11. Researchers typically report the adjusted R-square value because they lack confidence in the actual R-square.
Learning Objective: 8-2: How to use regression analysis to estimate the effect of an independent variable on a dependent variable.
Cognitive Domain: Comprehension
Answer Location: Adjusted R-Square
Difficulty Level: Medium
12. Pearson’s r is a symmetrical measure of association between two variables.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Correlation
Difficulty Level: Easy
13. Pearson’s r is a proportional reduction in error (PRE) measure of association.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Correlation
Difficulty Level: Easy
14. Researchers typically use correlation analysis during the early stages of the research process.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Summary
Difficulty Level: Easy
15. A dummy variable takes on the value of 1 for cases having one value of the nominal or ordinal variable, and a value of 0 for cases falling into all other values of the variable.
Learning Objective: 8-1: How to use correlation analysis to describe the relationship between two interval-level variables.
Cognitive Domain: Comprehension
Answer Location: Summary
Difficulty Level: Easy