Quiz (Chapter 16)
Bivariate, Multiple, and Logistic
- (T/F) Though regression is related to correlation, the former has
a different purpose than the latter.
- In some studies, regression is used to "predict"; in other studies,
regression is used to "_____."
- What are 3 synonyms for "dependent variable"? What are 2 synonyms
for "independent variable"?
- Excerpt 16.6 has how many predictor variables? How many criterion
- Which kind of analysis allows for more inferential tests, a correlational
analysis or a regression analysis?
- (T/F) Bivariate regression is used more often to "predict" than to
- If a scatter diagram were to be created for Excerpt 16.3, which
variable's name would be used to label the ordinate?
- If bivariate regression is used to predict, predictions are made
of the ____ (independent/dependent) variable.
- In bivariate regression, the "regression line" and the "line of best
fit" ___ (do/don't) refer to the same line.
- In a regression equation, the regression coefficient is represented
by the letter __.
- Using the regression equation on page 374, what would Sam's predicted
"down time" be if his age was 32?
- In Excerpt 16.4, what is the criterion variable?
- (T/F) In standardized regression equations, the beta weight is very
similar to a regression coefficient.
- In a regression equation, the term "a" indicates the regression line's
_____ while "b" indicates its _____.
- A regression equation's ability to predict well is given by r,
for it equals the correlation between Y ' and __.
- r2 indicates the proportion of variability in the ______
that's "explained" by variability in the ______.
- (T/F) In most regression analyses, a, b, and r are viewed as sample
statistics, not population parameters.
- (T/F) If, in Excerpt 16.8, the inferential test had focused on
r (rather than b), the outcome would have been the
- If, in Excerpt 16.7, r had been equal to .80 (rather than
.93), the predictor would have explained __% of the variance in running
- In multiple regression, how many independent variables will there
be? How many dependent variables?
- In Excerpt 16.9, what is/are the numerical value(s) of the regression
- Excerpt 16.11 shows that beta weights ____ (can/cannot)
- A standardized regression equation has _____ rather than regression
coefficients, each symbolized as ___.
- If used as an independent variable, _____ would be a dummy variable?
- What 3 terms are used to distinguish the 3 main types of multiple
regression from one another?
- Does a researcher determine the "entry order" of independent variables
in stepwise multiple regression?
- How does a researcher represent the multiple correlation coefficient?
Is it usually squared or left as is?
- Is it possible to compute DR2
for a simultaneous multiple regression? For a hierarchical multiple
- Adjusted R2 will be _____ (smaller/larger) than R2
because of anticipated ______.
- In Excerpt 16.16, what was the value of R2 at
the end of Step 2?
- In Excerpt 16.18, how many models were there in the hierarchical
- (T/F) Logistic regression is used exclusively within the fields of
medicine, health, and epidemiology.
- A subset of the independent variables, each called a ______, is typically
included for "______" purposes.
- (T/F) Logistic regression is like bivariate or multiple regression
in that there is only 1 dependent variable.
- Would "mother's age" (measured in years), "length of labor" (measured
in hours), or "baby's sex" (male or female) be the dependent variable
in a logistic regression?
- What are the odds against getting two heads if you flip a
fair coin twice?
- (T/F) The concept of an "odds ratio" is involved in logistic regression
but not in multiple regression.
- If the number 200 in Figure 16.3 had been 400 instead, the OR for
females watching Program B would be __.
- (T/F) The lowest possible OR is 1.00.
- If a logistic regression involves 4 independent variables, how many
odds ratios will there be?
- If an odds ratio is computed for a particular independent variable,
and if that particular OR takes into consideration the other independent
variables, then it is called an "_____" OR.
- In Excerpt 16.25, stroke severity was a significant predictor
because the OR of 1.24 was quite far away, statisticall speaking,
the null hypothesis number that was equal to ___ .
- In logistic regression, the main tests of significance focus on _____.
- individual ORs
- the full regression equation
- the slope of the regression line
- An OR equal to __ (what number?) would mean that membership in the
two categories of the dependent variable is unrelated to the independent
variable under consideration.
- What is the name of the test procedure that determines whether a
particular OR is statistically significant?
- The issue of "multicollinearity" arises when ___ (low/high) correlations
exist among independent variables.
- (T/F) In hierarchical multiple regression and logistic regression,
efforts at "control" don't work perfectly.
- (T/F) If important variables are overlooked in a regression analysis,
or if irrelevant variables are included, the regression model is said
to be "imploded."
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