Exam 13: Partial Correlation and
Exam 1: Introduction47 Questions
Exam 2: Basic Descriptive Statistics Percentages, Ratios Rates, Tables, Charts Graphs48 Questions
Exam 3: Measures of Central Tendency48 Questions
Exam 4: Measures of Dispersion39 Questions
Exam 5: The Normal Curve42 Questions
Exam 6: Introduction to Inferential Statistics Sampling the Sampling Distribution57 Questions
Exam 7: Hypothesis Testing I the One-Sample Case51 Questions
Exam 8: Hypothesis Testing II the Two-Sample Case49 Questions
Exam 9: Hypothesis Testing III: the Analysis of Variance48 Questions
Exam 10: Hypothesis Testing Iv Chi Square45 Questions
Exam 11: Bivariate Association for Nominal- and Ordinal-Level Variables74 Questions
Exam 12: Association Between Variables Measured at the Interval-Ratio Level45 Questions
Exam 13: Partial Correlation and48 Questions
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A Pearson's r calculated for a bivariate relationship is .50. After controlling for Z, the partial correlation coefficient is .07. This outcome would be evidence of a(n) _____________ relationship between X and Y.
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Correct Answer:
B
A researcher examines the relationship between poverty and crime rates for 100 metropolitan areas and finds a zero-order correlation of 0.37. She controls for the percent of families that are headed by single parents and finds a first order partial correlation of 0.33. Which of the following correctly describes this outcome? This is a ______ relationship
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Correct Answer:
A
Partial and multiple correlation require data which are
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Correct Answer:
D
A researcher wants to predict score on personal happiness (Y) from score on income (X1) and number of friends (X2). Which of the following would be the proper course of action?
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The regression equation for a particular relationship is Y = 10 + (.78) X1 + (-.54) X2. Which conclusion is consistent with this equation?
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A Pearson's r calculated for the bivariate relationship between X and Y is .50. After controlling for Z, the partial correlation coefficient is .49. This outcome would be evidence of a(n) _____________ relationship between X and Y.
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If a = 17, b1 = 5, b2 = 20, X1= 100, and X2 = 200, what would the predicted Y score be?
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A researcher is trying to determine if income (X1) or number of friends (X2) is more important in determining personal happiness (Y). Which of the following would be the most profitable course of action?
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In regression analysis, the standardized partial slopes are symbolized as
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If a = 1, b1 = 10, b2 = 10, X1= 2, and X2 = 3, what would the predicted Y score be?
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After controlling for Z, the partial correlation coefficient is .78. The bivariate Pearson's r between X and Y was only .51. What should the researcher do next?
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If the beta-weight of the first independent (X1) is .45 and the beta-weight of the second independent (X2) is -.50, then
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Which of the following is not a prerequisite for the use of the techniques of
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The partial correlation coefficient between X and Y after controlling for Z shows a much weaker relationship than the Pearson's r computed for X and Y. This would be taken as evidence of a(n) _____________ relationship between X and Y.
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