Exam 6: Correlation and Regression
Exam 1: Introduction211 Questions
Exam 2: Exploring Data: Frequency Distributions and Graphs94 Questions
Exam 3: Exploring Data: Central Tendency103 Questions
Exam 4: Exploring Data: Variability137 Questions
Exam 5: Other Descriptive Statistics188 Questions
Exam 6: Correlation and Regression170 Questions
Exam 7: Theoretical Distributions Including the Normal Distribution138 Questions
Exam 8: Samples, Sampling Distributions, and Confidence Intervals162 Questions
Exam 9: Hypothesis Testing and Effect Size: One-Sample Designs157 Questions
Exam 10: Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs206 Questions
Exam 11: Analysis of Variance: One-Way Classification176 Questions
Exam 12: Analysis of Variance: One-Factor Repeated Measures105 Questions
Exam 13: Analysis of Variance: Factorial Design148 Questions
Exam 14: Chi Square Tests147 Questions
Exam 15: More Nonparametric Tests150 Questions
Exam 16: Appendix: Grouped Frequency Distributions and Central Tendency21 Questions
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Data Set 6-2
The correlation between a score based on anthropometric measurements (height, strength, reaction time and others) and college GPA is .05. Your task will be to predict GPA, given the anthro measurements. Be sure you set this up properly and work precisely. (Use 3 or 4 decimal places.)
Mean 2.5 10 Standard Deviation 0.5 2
-Based on Data Set 6-2, predict a GPA for a person whose anthro data score was 15.
(Multiple Choice)
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The least squares method of finding a formula for a straight line
(Multiple Choice)
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Data Set 6-2
The correlation between a score based on anthropometric measurements (height, strength, reaction time and others) and college GPA is .05. Your task will be to predict GPA, given the anthro measurements. Be sure you set this up properly and work precisely. (Use 3 or 4 decimal places.)
Mean 2.5 10 Standard Deviation 0.5 2
-See Data Set 6-2. Suppose an excellent statistician used linear regression to predict the GPA for a person whose anthropometric score was 15. How likely is it that such a person would actually get the GPA predicted for her?
(Multiple Choice)
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Data Set 6-10: The correlation between a score based on anthropometric measurements (height, strength, reaction time and others) and college GPA is .05. Your task will be to predict GPA, given the anthro measurements. Be sure you set this up properly and work precisely (3 or 4 decimal places.).
Mean 2.6 20 Standard Deviation 0.7 4
-Based on the correlation coefficient in Data Set 6-10, the amount of confidence you should place in a prediction about GPA is
(Multiple Choice)
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Data Set 6-8
X Y 1 4 2 3 2 2
-The correlation coefficient in Data Set 6-8 is
(Multiple Choice)
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For the data below, calculate r and write a sentence or two of explanation. Average Salary Average Liquor 1910 150 7 1915 150 9 1920 175 11 1925 200 15 1930 175 12 1935 150 9 1940 200 16
(Essay)
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To use the regression equation technique described in your text, you must have
(Multiple Choice)
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Data Set 6-10: The correlation between a score based on anthropometric measurements (height, strength, reaction time and others) and college GPA is .05. Your task will be to predict GPA, given the anthro measurements. Be sure you set this up properly and work precisely (3 or 4 decimal places.).
Mean 2.6 20 Standard Deviation 0.7 4
-The b coefficient in Data Set 6-10 is
(Multiple Choice)
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The kind of data required for a Pearson product-moment correlation is
(Multiple Choice)
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A linear relationship is described by which of the statements below?
(Multiple Choice)
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Is there a relationship between a student's grade and that same student's evaluation of the course? Here are some data that might be expected based on many studies. (A = 4, B = 3, C = 2, D = 1, F = 0). 1 4 7 2 1 3 3 3 1 4 0 6 5 2 6 6 2 2 7 3 6
a. Draw a scatterplot and calculate r.
b. Write an interpretation.
(Essay)
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Data Set 6-7
X Y 1 4 2 5 4 6
-In Data Set 6-7, the Pearson correlation coefficient is
(Multiple Choice)
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Given the data below, compute r using the z-score method. X Y 1 2 2 4 3 6
(Essay)
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The philosophy that a phenomenon can be better understood if its essential parts are expressed as numbers is called
(Multiple Choice)
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You will be most confident in the accuracy of your predicted value of Y when
(Multiple Choice)
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