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 group of 8 elementary school students was randomly selected . Each pupil was tested on both Math Ability and Spelling Ability. Their scores were: Subject Math Test Spelling Test 1 14 15 2 12 10 3 3 2 4 9 10 5 8 7 6 5 6 7 10 9 8 2 4
-Find the .95 confidence interval for the predicted Y scores.
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Correct Answer:
3.048 to 11.13 2
When predicting a student's GPA on the basis of the Verbal SAT score, the regression line was equal to .01X + .10. This means that there was
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Correct Answer:
C
For the Pearson r, rejecting Ho means that the obtained correlation does exist in the population.
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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 standard error of estimate.
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When predicting a student's GPA on the basis of the Verbal SAT score, the regression line was equal to .01X + .10. This means that there was
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In the regression of Y on X, when the Pearson r equals 1.00, so too must the slope value equal 1.00
(True/False)
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Use the following: Assume a significant XY correlation of .85 and a sample size of 30. The mean of X equals 800.00, and the mean of Y equals 20.00. The estimated sd of X equals 75.00, and the estimated sd of Y equals 3.70.
-Predict a Y value for a known X value 1100.00.
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When the correlation in a sample is found to be significant, then it is assumed that
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When all the points in a scatter plot lie directly on the regression line of Y and X, then
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The value of the standard error of estimate may never be greater than
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The regression line is the single straight line which passes through most of the data points on a scatter plot.
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In a four-variable correlation, when two variables are held constant, while examining the remaining relationship between the other two, the technique is referred to as
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The resulting correlation between two or more predictor variables and a criterion variable is called the multiple R.
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When Y decreases by one unit for each equal unit increase in X, then
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In order to obtain significance for the Pearson r, Ho must be rejected.
(True/False)
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For questions below, use the following: A group of 8 elementary school students was randomly selected . Each pupil was tested on both Math Ability and Spelling Ability. Their scores were: Subject Math Test Spelling Test 1 14 15 2 12 10 3 3 2 4 9 10 5 8 7 6 5 6 7 10 9 8 2 4
-Find the .99 confidence interval for the predicted Y scores.
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