__________ is a statistical method that utilizes many separate correlations in order to determine which variables change in concert and thus can be considered functionally related.
a. Latent correlation
b. Scatterplot analysis
c. Multiple correlation
d. Factor analysis
Question 2What is the third-variable problem?
a. When a researcher measures so many variables that it's difficult to make sense of the data.
b. When a research considers only one direction of causation between two variables that are strongly correlated.
c. When a researcher measures variables that are not relevant to the relationship he or she is most interested in.
d. When a researcher fails to consider that two variables may be correlated due only to the effects of some unmeasured third variable.
Question 3If the hypothesis states that A causes B and the r statistic demonstrates that A and B have a correlation of 0, it can be concluded that
a. A causes B.
b. B causes A.
c. A does not cause B.
d. none of the above
Question 4The correlation coefficient tells us
a. the general shape of the scatterplot.
b. which variable causes the other.
c. how well we can predict the level of one variable from the level of the other.
d. more than one of the above
Question 5What is the term for the visual representation of data, in correlational research, that shows how each individual scored on each of two variables?
a. scree plot
b. histogram
c. scatterplot
d. correlation matrix
Question 6An r statistic of -.85 suggests that
a. as one variable goes up, the other variable goes up.
b. the two variables are unrelated to each other.
c. on average, the second variable is .85 less than the first variable.
d. as one variable goes up, the other variable goes down.
Question 7The Pearson product-moment coefficient ranges from
a. 0 to 1.
b. -1 to 1.
c. 0 to 100.
d. -100 to 100.
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