Chapter 16 iClicker Questions
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.
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
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
4. Which character is the standardized regression coefficient symbolized by?
a) α
b) β
c) ∑
d) π
5. The regression line is also known as the:
a) correlation line.
b) intercept line.
c) β line.
d) line of best fit.
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.
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.
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
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.
10. When we calculate proportionate reduction in error for a multiple regression, what symbol
is used?
a) r2
b) R2
c) β
d) π
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.
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.
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.