Exam 5: Pearson Correlation and Regression: Descriptive Aspects
Exam 1: Introduction and Mathematical Preliminaries146 Questions
Exam 2: Frequency and Probability Distributions150 Questions
Exam 4: Percentiles percentile Ranks standard Scores and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 6: Probability149 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T -Test149 Questions
Exam 13: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 14: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 15: Chi-Square Test145 Questions
Exam 16: Nonparametric Statistics135 Questions
Exam 17: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 18: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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For a perfect positive linear relationship,the z scores for the X and Y variables will tend to have _____.
(Multiple Choice)
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When standard scores are used to calculate the regression equation,the intercept will always equal _____ and the slope will always equal _____.
(Multiple Choice)
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There seems to be a negative correlation between the number of errors made on an exam and the level of satisfaction with performance.What does this mean?
(Multiple Choice)
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Refer to the following data set.
Individual X Y
1 2 4 SCP = 80
2 4 8 SSY = 160
3 6 1 SSX = 40
4 8 16
5 10 20
The correlation coefficient for the above is ______.
(Multiple Choice)
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Which of the following linear relationships describes a situation in which the value of one variable decreases as the value of the second variable also decreases?
(Multiple Choice)
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When the correlation between two variables is nonzero,the value of the sum of z score products is influenced not only by the size of the correlation,but also by the sample size (N).
(True/False)
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The ____________________ minimizes the sum of the squared discrepancies between the predicted and observed Y scores.
(Short Answer)
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In least squares analysis,the slope and intercept are defined so as to minimize the _____ that the data points,considered collectively,are from the regression line.
(Multiple Choice)
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When one finds that there is a strong correlation between X and Y it is possible that.......
(Multiple Choice)
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What are the consequences of using the correlation coefficient to assess a curvilinear relationship between two variables?
(Essay)
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In statistical computer output,when every variable of interest is correlated with every other variable,the output contains a correlation ____________________.
(Short Answer)
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The criterion for deriving the values of the slope and intercept is formally known as the least squares criterion.
(True/False)
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The sign of the correlation coefficient indicates the magnitude of the linear approximation.
(True/False)
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The _____ represents an average error across individuals in predicting scores on Y from the regression equation.
(Multiple Choice)
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The fact that there is a positive relationship between the murder rate and ice cream consumption can be explained by the fact that both of these increase during hot weather.This is an example of a _____.
(Multiple Choice)
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What are the statistical and conceptual implications of designating one variable as the X variable and one variable as the Y variable?
(Essay)
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The __________ indicates the number of units variable Y changes as variable X changes by 1 unit.
(Multiple Choice)
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A ____________________ is a graph that represents values for X and Y for each person in the data set.
(Short Answer)
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