The standard error of estimate, se, is the standard deviation of
a. the predicted scores on Y.
b. the distribution of the observed Y scores.
c. the differences between actual and predicted Y scores.
d. the X scores used to predict Y.
Ques. 2The best prediction using a multiple regression equation will occur when each predictor has a correlation with the other independent variables, and a correlation with the dependent variable.
a. high; low c. low; low
b. high; high d. low; high
Ques. 3One would predict that the sons of a large group of the tallest pro basketball players will have a mean height somewhat less than that of their fathers. This can be explained by the phenomenon of
a. errors of measurement. c. standard error of estimate.
b. regression. d. correlation.
Ques. 4If the correlation between X and Y is .70, the proportion of variance in Y that is predictable from X is
a. .30.
b. .49.
c. .70.
d. .90.
e. None of these.
Ques. 5For n = 1,000 the computed r between X and Y is r = .45 . If n were increased to 4,000 from the same population, the r would probably be
a. approximately .45 c. approximately .90.
b. increased to some extent. d. impossible to predict.
Ques. 6The correlation between SAT and GPA would be lowest for which one of the following populations?
a. All high school seniors
b. All male high school seniors
c. All female high school seniors
d. All seniors winning the Westinghouse Talent Search
Ques. 7The correlation between variables X and Y was found to be .95 . This indicates that
a. X is the probable cause of Y.
b. Y is the probable cause of X.
c. X and Y share 95 percent of the variance in scores.
d. low scores on X are accompanied by low scores on Y.
Ques. 8A study found that college students who work part-time have higher GPAs than either students who don't work at all or students who have full-time jobs. This finding indicates that the relationship between weekly hours worked and GPA is
a. positive c. curvilinear.
b. negative. d. negligible.
Ques. 9A general aptitude test correlates .45 with success in a particular college. To improve the predictive accuracy, the students are also given three other aptitude measures, all of which correlate very highly with one another and with the first test. What will be the likely effect of adding the scores from the three additional tests to the regression equation?
a. Predictive accuracy will significantly improve.
b. Only a very small improvement will occur.
c. Predictive accuracy will decrease slightly.
d. Cannot estimate from the information given.
Ques. 10A scattergram is helpful because it illustrates the
a. magnitude of the relationship between two variables.
b. direction (+ or -) of a relationship between two variables.
c. presence of a nonlinear relationship between two variables.
d. All of these are true.
e. a and b
Ques. 11A correlation of -.65 between test anxiety and college GPA means that
a. there is negligible correlation between the two variables.
b. test anxiety causes low grades in college.
c. students with high test anxiety tend to get lower grades than students with low test anxiety.
d. low grades contribute to high test anxiety among college students.
Ques. 12Which of the following is most likely to be statistically significant
a. small sample, low correlation. c. large sample, low correlation.
b. small sample, high correlation. d. large sample, high correlation.
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