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1. __(1)__ stats have one variable of interest and __(2)__ 1.) Univariate
have two variables of interest. 2.) Bivariate
2. Comparing Ellie's IQ to the general population is an Univariate
example of (Univariate/Bivariate) statistics.
3. Determining if a relationship exists between IQ and Job Bivariate
Salary is an example of (Univariate/Bivariate) statistics.
4. A _____ describes the relationship between two vari- Correlation
ables (aka. how they covary)
5. T/F: Correlations tell whether changes in one variable False.
caused by changes in another variable are due to Correlations tell whether
chance. changes in one variable
caused by changes in an-
other variable are system-
atic (not by chance).
6. Graphical representation primarily used to show cor- Scatterplot
relation data.
7. A unit that describes the direction and strength of Correlation Coefficient
relation between two variables.
8. _____ is the most commonly used Correlation Coeffi- Pearson's r (r)
cient.
9. T/F: Correlation Coefficients can range from exactly True.
-1.00 to exactly +1.00.
10. A correlation coefficient of -1.00 indicates _____. A Perfect Negative Rela-
tionship
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, Quantitative Methods Exam 4 (Final Exam)
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11. A correlation coefficient of +1.00 indicates _____. A Perfect Positive Relation-
ship
12. A correlation coefficient of 0.00 indicates _____. No correlation whatsoever
13. Pearson's r specifically describes _____ relationships Linear
between variables. (NOTE: "Correlational"
works too)
14. What does a Positive Correlation mean? As X increases, Y increases
(or vice versa)
15. What does a Negative Correlation mean? As X increases, Y decreases
(or vice versa)
16. What does no correlation mean? There is no systematic re-
lationship between X and
Y.
17. T/F: If two variables have a correlation value of 1.00, it False.
is certain that changes in X are the cause of changes in Correlation does not imply
Y. Causation.
18. In APA Results, when discussing if there was or was not "r(d.f. total) = .X" and
a significant correlation between two variables, what "p-value = .Y"
values do you provide?
19. In SPSS, how do you run a correlation? Analyze ---> Correlate --->
Bivariate
20. In a Regression, what does R^2 (R Squared) mean? % of variance explained by
the predictor(s).
21. In SPSS, how do you do a Regression?
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