Exam 14: Regression Analysis
Exam 1: Introduction to Statistics24 Questions
Exam 2: Percentages, Graphs and Measures of Central Tendency69 Questions
Exam 3: Measures of Variability99 Questions
Exam 4: The Normal Curve and Z Score115 Questions
Exam 5: Z Scores, T Scores and Other Normal Curve Transformations110 Questions
Exam 6: Probability76 Questions
Exam 7: Statistics and Parameters92 Questions
Exam 8: Parameter Estimates129 Questions
Exam 9: The Fundamentals of Research Methodology173 Questions
Exam 10: The Hypothesis of Difference130 Questions
Exam 11: The Hypothesis of Association: Correlation131 Questions
Exam 12: Analysis of Variance108 Questions
Exam 13: Nominal Categorical Data and the Chi Square89 Questions
Exam 14: Regression Analysis122 Questions
Exam 15: Repeated-Measures and Matched-Subjects Designs Interval Data113 Questions
Exam 16: Non-Parametrics Revisited: the Ordinal Case113 Questions
Exam 17: Tests and Measurements69 Questions
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For questions below, use the following: A random sample of college students was selected from the population of male, physical-education majors. The mean height was 68". The mean weight was 150 lbs. The mean waist-measure size was 32". The standard deviations were, for height, 3" for weight, 30 lbs for waist-size, 2" Significant Pearson r's were, Height and weight, .70 Height and waist-size, .40 Weight and waist-size, .30
-Calculate the standard error of multiple estimate.
(Short Answer)
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For questions below , use the following: A researcher selects a random sample of 8 high school students. Each student is tested on both Need Achievement and Mechanical Aptitude. The scores were: Subject Need Achievement Mechanical Aptitude 1 12 10 2 2 3 3 5 7 4 9 5 5 11 9 6 10 8 7 4 6 8 1 3
-Find the Pearson r correlation between Need Achievement and Mechanical Aptitude.
(Short Answer)
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In regression analysis, when Y increases by two units for each equal single-unit increase in X, then
(Multiple Choice)
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The value of the standard error of estimate may never be less than
(Multiple Choice)
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When the standard error of estimate equals zero, it means that all the data points lie right on the regression line.
(True/False)
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When the correlation between X and Y equals 1.00, the standard error of estimate
(Multiple Choice)
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The major goal of correlational research is to allow for better-than-chance predictions.
(True/False)
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The lower the value of the Pearson r, the greater the likelihood of the Y pred. falling near the mean of Y.
(True/False)
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Establishing a three-variable partial correlation, results in
(Multiple Choice)
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When the correlation between X and Y is zero, then the safest prediction of Y which can be made, give information on X,
(Multiple Choice)
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In order to produce the regression line, the researcher must know
(Multiple Choice)
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In regression analysis, the amount of change in Y which accompanies a given unit change in X is designated by
(Multiple Choice)
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The lower the value of the correlation between X and Y, the more the predicted Y value
(Multiple Choice)
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When the standard deviation of the Y distribution equals zero, then
(Multiple Choice)
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The correlation between a criterion variable and two or more predictor variables, is called the
(Multiple Choice)
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When the standard deviation of both the X and Y distributions are equal, then
(Multiple Choice)
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Use the following: Assume a significant XY correlation of .60 and a sample size of 62. The mean of X equals 14.00, and the mean of Y equals 2.00. The estimated sd of the sample X equals 3.00 and the estimated sd of Y equals .80.
-Find the .95 confidence interval for the predicted Y value. For questions 91 through 94, use the following: Assume a significant XY correlation of .90 and a sample size of 40. The mean of X equals 100.00. The mean of Y equals 500.00. The estimated sd of X equals 10.00. The estimated sd of Y equals 100.00
(Short Answer)
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