Download b) stepwise multiple regression.

Susan A. Nolan and Thomas E. Heinzen
Statistics for the Behavioral Sciences
Second Edition
Chapter 16:
Regression
iClicker Questions
Copyright © 2012 by Worth Publishers
Chapter 16
1. How is a correlation different from a regression analysis?
a) A regression analysis uses continuous variables, while a
correlation analysis uses categorical variables.
b) A correlation describes only one type of relationship, while
a regression describes multiple relationships.
c) A regression enables us to make predictions, while a
correlation describes relationships.
d) A correlation describes relationships, while a regression
analysis tests for causation.
Chapter 16
(Answer)
1. How is a correlation different from a regression analysis?
a) A regression analysis uses continuous variables, while a
correlation analysis uses categorical variables.
b) A correlation describes only one type of relationship, while
a regression describes multiple relationships.
c) A regression enables us to make predictions, while a
correlation describes relationships.
d) A correlation describes relationships, while a regression
analysis tests for causation.
Chapter 16
2. _______________________ refers to the tendency of
scores that are particularly high or low to drift towards
the mean over time.
a) Restriction of range
b) Standard error of estimate
c) Standard error of the mean
d) Regression to the mean
Chapter 16
(Answer)
2. _______________________ refers to the tendency of
scores that are particularly high or low to drift towards
the mean over time.
a) Restriction of range
b) Standard error of estimate
c) Standard error of the mean
d) Regression to the mean
Chapter 16
3. In the simple linear regression formula, _____________
is the predicted value for Y when X is equal to 0, the
point at which the line crosses the y axis.
a) slope
b) residual
c) intercept
d) standard error
Chapter 16
(Answer)
3. In the simple linear regression formula, _____________
is the predicted value for Y when X is equal to 0, the
point at which the line crosses the y axis.
a) slope
b) residual
c) intercept
d) standard error
Chapter 16
4. Which character is the standardized regression
coefficient symbolized by?
a) α
b) β
c) ∑
d) π
Chapter 16
(Answer)
4. Which character is the standardized regression
coefficient symbolized by?
a) α
b) β
c) ∑
d) π
Chapter 16
5. The regression line is also known as the:
a) correlation line.
b) intercept line.
c) β line.
d) line of best fit.
Chapter 16
(Answer)
5. The regression line is also known as the:
a) correlation line.
b) intercept line.
c) β line.
d) line of best fit.
Chapter 16
6. Based on the figure below, which graph, if any, has a smaller
standard error of the estimate:
a) Graph a has a smaller standard error of estimate.
b) Graph b has a smaller standard error of estimate.
c) The standard error of estimate for both graphs is homogenous.
d) The standard error of estimate for both graphs cannot be determined because they
contain outliers which distort the data.
Chapter 16
(Answer)
6. Based on the figure below, which graph, if any, has a smaller
standard error of the estimate:
a) Graph a has a smaller standard error of estimate.
b) Graph b has a smaller standard error of estimate.
c) The standard error of estimate for both graphs is homogenous.
d) The standard error of estimate for both graphs cannot be determined because they
contain outliers which distort the data.
Chapter 16
7. The term “coefficient of determination” is also known as:
a) the standard error of the estimate.
b) proportionate reduction in error.
c) mean of the sampling distribution.
d) simple linear regression.
Chapter 16
(Answer)
7. The term “coefficient of determination” is also known as:
a) the standard error of the estimate.
b) proportionate reduction in error.
c) mean of the sampling distribution.
d) simple linear regression.
Chapter 16
8. A simple regression allows us to use ________
independent variable(s) while a multiple regression
analysis allows us to use _____________ independent
variable(s).
a) two or more; three or more
b) one; two or more
c) one to two; three or more
d) one; up to three
Chapter 16
(Answer)
8. A simple regression allows us to use ________
independent variable(s) while a multiple regression
analysis allows us to use _____________ independent
variable(s).
a) two or more; three or more
b) one; two or more
c) one to two; three or more
d) one; up to three
Chapter 16
9. An independent variable that makes a separate and
distinct contribution in the prediction of a dependent
variable, as compared with another variable, is called:
a) an orthogonal variable.
b) a confounding variable.
c) a correlated variable.
d) a discrete variable.
Chapter 16
(Answer)
9. An independent variable that makes a separate and
distinct contribution in the prediction of a dependent
variable, as compared with another variable, is called:
a) an orthogonal variable.
b) a confounding variable.
c) a correlated variable.
d) a discrete variable.
Chapter 16
10. When we calculate proportionate reduction in error for a
multiple regression, what symbol is used?
a) r2
b) R2
c) β
d) π
Chapter 16
(Answer)
10. When we calculate proportionate reduction in error for a
multiple regression, what symbol is used?
a) r2
b) R2
c) β
d) π
Chapter 16
11. A type of multiple regression in which computer
software determines the order in which independent
variables are included into the regression equation is
called:
a) hierarchical multiple regression.
b) stepwise multiple regression.
c) regression to the mean.
d) simple linear regression.
Chapter 16
(Answer)
11. A type of multiple regression in which computer
software determines the order in which independent
variables are included into the regression equation is
called:
a) hierarchical multiple regression.
b) stepwise multiple regression.
c) regression to the mean.
d) simple linear regression.
Chapter 16
12. A type of multiple regression in which the researcher
adds independent variables into the regression equation
in an order determined by theory is called:
a) hierarchical multiple regression.
b) stepwise multiple regression.
c) regression to the mean.
d) simple linear regression.
Chapter 16
(Answer)
12. A type of multiple regression in which the researcher
adds independent variables into the regression equation
in an order determined by theory is called:
a) hierarchical multiple regression.
b) stepwise multiple regression.
c) regression to the mean.
d) simple linear regression.
Chapter 16
13. A statistical technique that quantifies how well sample
data ‘fit’ a theoretical model that hypothesizes a set of
relations among multiple variables is called:
a) path analysis.
b) stepwise multiple regression.
c) hierarchical multiple regression.
d) structural equation modeling.
Chapter 16
(Answer)
13. A statistical technique that quantifies how well sample
data ‘fit’ a theoretical model that hypothesizes a set of
relations among multiple variables is called:
a) path analysis.
b) stepwise multiple regression.
c) hierarchical multiple regression.
d) structural equation modeling.