  Quiz (Chapter 16)

Bivariate, Multiple, and Logistic Regression

Introduction
1. Though regression is related to correlation, the former has a different purpose than the latter.
2.  True False
3. In some studies, regression is used to "predict"; in other studies, regression is used to "_____."
5. Which of the following is not a synonym for "dependent variable"?
 criterion variable outcome variable predictor variable response variable
6. Excerpt 16.4 has __ predictor variable(s) and __ criterion variable(s).
7.  1; 6 6: 1 4; 6 6; 4
8. Which kind of analysis allows for more inferential tests, a correlational analysis or a regression analysis?
9.  A correlational analysis A regression analysis
Bivariate Regression
1. Bivariate regression is used more often to "predict" than to "explain."
2.  True False
3. In a scatter diagram created for Excerpt 16.3, which variable's name would be used to label the ordinate?
4.  Antioxidant intake Baseline MMSE score
5. If bivariate regression is used to predict, predictions are made of the ____ variable.
6.  dependent independent
7. In bivariate regression, the "regression line" and the "line of best fit" refer to the same line.
8.  True False
9. In a regression equation, the regression coefficient is represented by the letter __.
10.  a b r x y
11. Using the regression equation on page 413, what would Sam's predicted "down time" be if his age was 32?
12.  3.59 days 13.69 days 26.95 days 37.05 days
13. In Excerpt 16.6, what is the dependent variable?
14.  Arm span Height Age Gender
15. In standardized regression equations, the beta weight is very similar to a regression coefficient.
16.  True False
17. In a regression equation, the term "a" indicates the regression line's _____ while "b" indicates its _____.
18.  slope; intercept intercept; slope
19. A regression equation's ability to predict well is given by r, for it equals the correlation between Y' and __.
20.  X Y Z
21. The proportion of variability in the dependent variable that's "explained" by variability in the independent variable is equal to ___.
22.  a2 b2 r2
23. In most regression analyses, a, b, and r are viewed as sample statistics, not population parameters.
24.  True False
25. If, in Excerpt 16.10, the inferential test had focused on r (rather than b), the outcome would have been the same.
26.  True False
27. In Excerpt 16.19, Total Perceived Support the _______ variable.
28.  independent dependent
Multiple Regression
1. In a multiple regression, there will always be __ dependent variable(s) and __ independent variable(s).
2.  1; 2 or more 2 or more; 1 2; 2 or more 2 or more; 2
3. In Excerpt 16.12, what is/are the numerical value(s) of the regression coefficient(s)?
4.  6.34 7.06 4.17 7.06 and 4.17 6.34, 7.06, and 4.17
5. Excerpts 16.13 and 16.14 show that it ___ possible to compare beta weights.
6.  is is not
7. A standardized regression equation has _____ rather than regression coefficients, each symbolized as ___.
8.  alpha coefficients; a beta coefficients; b eta coefficients; h lambda coefficients; l
9. If used as an independent variable, _____ would be a dummy variable?
 height gender income heart rate
10. The 3 main types of multiple regression are called "simultaneous multiple regression," "stepwise multiple regression," and "___________ multiple regression."
11.  actuarial hierarchical splintered standardized
12. Does a researcher determine the "entry order" of independent variables in stepwise multiple regression?
13.  Yes No
14. The multiple correlation coefficient is symbolized by ___.
15.  r r2 R R2
16. The concept of DR2 does not apply to which kind of multiple regression?
 Simultaneous multiple regression Stepwise multiple regression Hierarchical multiple regression
17. Adjusted R2 will be _____ than R2 because of anticipated ______.
18.  smaller; attrition larger; attrition smaller; shrinkage larger; shrinkage
19. In Excerpt 16.22, how many of the 5 independent variables were involved in the model that produces an R2 value of .50?
20.  2 3 4 5
21. In Excerpt 16.21, the number in step 3 for "additional variance accounted for" should have been ___, not 4%.
22.  2% 3% 4% 5%
Logistic Regression
1. Logistic regression is used exclusively within the fields of medicine, health, and epidemiology.
2.  True False
3. A subset of the independent variables, each called a ______, is typically included for "control" purposes.
5. Logistic regression is like bivariate or multiple regression in that there is only 1 dependent variable.
6.  True False
7. 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?
8.  Mother's age Length of labor Baby's sex
9. What are the odds against getting two heads if you flip a fair coin twice?
10.  2 to 1 3 to 1 4 to 1
11. The concept of an "odds ratio" is involved in logistic regression but not in multiple regression.
12.  True False
13. If the number 200 in Figure 16.2 had been 400 instead, the OR for females watching Program B would be __.
14.  2 4 8 10 12
15. The lowest possible OR is 1.00.
16.  True False
17. If a logistic regression involves 4 independent variables, how many odds ratios will there be?
18.  1 2 3 4 5
19. 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 a(n) "_____" OR.
20.  adjusted comprehensive global neutralized standardized
21. In Excerpt 16.26, the first OR turned out to be statistically significant because 0.150 was quite different, statistically speaking, from the null hypothesis number that was set equal to
22.  0 .01 .85 1
23. In logistic regression, the main tests of significance focus on _____.
 the individual ORs the full regression equation the slope of the regression line
24. An OR equal to __ would mean that membership in the two categories of the dependent variable is unrelated to the independent variable under consideration.
25.  -1 0 1 50 100
26. What is the name of the test procedure that determines whether a particular OR is statistically significant?
27.  The OR test The LR test The Snyder test The Murphy test The Wald test