Exam 14: Pearson Correlation and Regression: Inferential 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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The traditional null hypothesis for the inferential test of a correlation coefficient states that the correlation in the population (r)_____.
(Multiple Choice)
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A social psychologist is interested in whether education level is related the number of desired children.She obtains an r value of -.24 with 62 subjects.If the sum of squares for Y is 634,what is the estimated standard error of estimate?
(Multiple Choice)
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An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.
(Multiple Choice)
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A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.What is the coefficient of determination?
(Multiple Choice)
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If we find a high correlation between variables X and Y,we can conclude _____.
(Multiple Choice)
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The variable being predicted,Y,is formally known as the dependent or criterion variable.
(True/False)
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The variable from which predictions are made,X,is formally known as the independent or predictor variable.
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Imagine you are interested in researching the relationship between job experience and income among early-career working professionals.You take a random sample of 32 professionals from the nearest city,and you ask them to report their annual income and submit a resumé outlining their professional experience.You later calculate their years of experience from their resumés.You compute the following information:
How would you state the null hypothesis for this test?
(Multiple Choice)
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Which of the following is formally known as the coefficient of determination?
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If a relationship is observed between two variables in a set of sample data,this _____ that a relationship exists in the corresponding population.
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When testing the significance of a correlation,we use the alpha level and the degrees of freedom value equal to ______.
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In a regression equation,the variable being predicted (or _____)is known as a(n)_______ variable.
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Nonzero correlation coefficients indicate some approximation to a _____ relationship.
(Multiple Choice)
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The test of the null hypothesis that ñ = 0 is based on the assumption that the variability of Y scores in the population is the same at each value of X.
(True/False)
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A statistically significant direct relationship between self-esteem and optimism would indicate that
(Multiple Choice)
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If a relationship is observed between two variables in a set of sample data,this means that
a relationship exists between the variables in the corresponding population.
(True/False)
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The equation for the general linear model contains Greek letters to indicate that the slope,intercept,and error terms refer to population values.
(True/False)
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If you realized that a set of sample data had a lower standard deviation on variable X than is typical for the population,this would create the problem of _____ the apparent strength of association between X and Y for correlation/regression analyses.
(Multiple Choice)
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