Exam 9: Pearsons Correlation and Bivariate Regression
Exam 1: Introduction43 Questions
Exam 2: Data Sets39 Questions
Exam 3: Frequency Tables and Univariate Charts37 Questions
Exam 4: Central Tendency and Dispersion58 Questions
Exam 5: Creating New Variables47 Questions
Exam 6: Comparing Group Means25 Questions
Exam 7: Crosstab Tables37 Questions
Exam 8: Nominal and Ordinal Measures of Association38 Questions
Exam 9: Pearsons Correlation and Bivariate Regression48 Questions
Exam 10: Multiple Regression39 Questions
Exam 11: Sampling Distributions and Normal Distributions40 Questions
Exam 12: Hypothesis Testing and One-Sample T Tests45 Questions
Exam 13: Paired and Independent-Samples T Tests49 Questions
Exam 14: Analysis of Variance49 Questions
Exam 15: Chi-Square39 Questions
Exam 16: Hypothesis Testing With Measures of Association and Regression32 Questions
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If the value of the multiple correlation coefficient is .40, what is the value of the coefficient of determination (R2)?
(Multiple Choice)
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For each of the following cases, the case's actual value on the dependent variable is shown along with the case's predicted value on the dependent variable based on a regression equation. For each case, what is the value of the regression residual?
(Short Answer)
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If R2 for a regression equation is .30, how much of the variability in the dependent variable is NOT accounted for by the independent variables? __________
(Short Answer)
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The Pearson's r for variables D and E is .00. Cases which have a high value on D are
(Multiple Choice)
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The multiple correlation coefficient (R) indicates _____ of the relationship between the dependent variable and the set of independent variables.
(Multiple Choice)
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How does a scatterplot indicate the direction of the relationship between two variables?
(Essay)
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Pearson's r is the appropriate measure of association for a pair of variables if
(Multiple Choice)
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An analyst is interested in the relationship between number of children a person has (the independent variable) and exam grade (the dependent variable). She regresses exam grade on number of children. The equation for the best-fitting straight line is
GRADE = 75 + 5(CHILDREN)
A) For every additional child, what happens to the predicted grade? (State both the amount of change and the direction.)
B) One student has three children. What was that student's predicted grade?
C) If one student has 0 children and received a grade of 90, what was that student's regression residual?
D) Does the best fitting straight line through the scatterplot rise or fall as it moves to the right? (rise or fall)
(Short Answer)
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Number of children is regressed on years of schooling. The unstandardized regression coefficient for years of schooling is .125. Do persons with more years of schooling have more, less, or the same number of children as persons with fewer years of schooling?
(Multiple Choice)
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The best way to visually portray the relationship between two interval/ratio, continuous variables is with a
(Multiple Choice)
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Which of the following is most appropriate for measuring the relationship between an ordinal variable and an interval/ratio variable?
(Multiple Choice)
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The Pearson's r for variables D and E is −.88. Cases which have a low value on D are
(Multiple Choice)
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Answer the questions that follow this SPSS output:
A) Describe the strength and the direction of the correlation between EDUC and INCOME. Also report the actual value of the correlation.
B) Which pair of variables has the weakest correlation in the table? __________ and __________
(Short Answer)
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Which of the following Pearson's r coefficients indicates the strongest relationship?
(Multiple Choice)
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If the coefficient of determination for a regression equation is .25, what is the value of the coefficient of alienation? __________
(Short Answer)
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For each of the following cases, the case's actual value on the dependent variable is shown along with the case's predicted value on the dependent variable based on a regression equation. For each case, what is the value of the regression residual?
(Short Answer)
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If the correlation between a nation's population size and its economic standard of living is −.86, then
(Multiple Choice)
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