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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When reading a scatterplot, the independent variable defines the
(Multiple Choice)
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An analyst is interested in the relationship between number of cups of coffee consumed before an exam (the independent variable) and exam grade (the dependent variable). She regresses exam GRADE on number of CUPS of coffee. The equation for the best-fitting straight line is
GRADE = 90 − 10(CUPS)
A) One student had six cups of coffee. What was that student's predicted grade?
B) If one student had no coffee and received a grade of 95, what was that student's regression residual?
C) 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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Based on the regression equation Y = 200 + 50X, which of the following is true?
(Multiple Choice)
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Answer the questions that follow this SPSS output:
A) What is the value of the multiple correlation? __________
B) If one person is five years older than another person, how much more income would we predict the older person gets? __________
C) Write out the regression equation. You may use Y and X or the names of the variables.
(Short Answer)
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If the value of the multiple correlation is .80, what is the value of the coefficient of determination? __________
(Short Answer)
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GPA is regressed on YEAR in college. The resulting regression equation is GPA = 1.75 + .25(YEAR). Someone in their fourth year of college would be predicted to have a GPA _____ than someone in their first year of college.
(Multiple Choice)
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Answer the questions that follow this SPSS output:
A) What is the value of Pearson's correlation for the relationship between SIBLINGS and MAEDUC? __________
B) Which pair of variables has the weakest correlation in the table? __________ and __________
(Short Answer)
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