Exam 13: Correlation and Linear Regression
Exam 1: What Is Statistics83 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation132 Questions
Exam 3: Describing Data: Numerical Measures124 Questions
Exam 4: Describing Data: Displaying and Exploring Data113 Questions
Exam 5: A Survey of Probability Concepts134 Questions
Exam 6: Discrete Probability Distributions131 Questions
Exam 7: Continuous Probability Distributions135 Questions
Exam 8: Sampling Methods and the Central Limit Theorem117 Questions
Exam 9: Estimation and Confidence Intervals131 Questions
Exam 10: One-Sample Tests of Hypothesis110 Questions
Exam 11: Two-Sample Tests of Hypothesis98 Questions
Exam 12: Analysis of Variance134 Questions
Exam 13: Correlation and Linear Regression138 Questions
Exam 14: Multiple Regression Analysis135 Questions
Exam 15: Nonparametric Methods: Nominal Level Hypothesis Tests181 Questions
Exam 16: Nonparametric Methods: Analysis of Ordinal Data138 Questions
Exam 17: Index Numbers137 Questions
Exam 18: Time Series and Forecasting139 Questions
Exam 19: Statistical Process Control and Quality Management136 Questions
Exam 20: An Introduction to Decision Theory115 Questions
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High school students were interested in a teacher's claim that the longer the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.
What is the regression mean square?

(Essay)
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A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression analysis shows the following results:
What is the slope of the linear equation?

(Multiple Choice)
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A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression analysis shows the following results:
What is the Y-intercept of the linear equation?

(Multiple Choice)
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The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.
(True/False)
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The regression equation is Ŷ = 30 + 2.56X, the sample size is 14, and the standard error of the slope is 0.97. What is the test-statistic to test the significance of the slope?
(Multiple Choice)
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A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression analysis shows the following results:
What is the standard error of the slope?

(Multiple Choice)
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A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression analysis shows the following results:
= 33.4.
= 2814.4.
The 95% prediction interval for a particular person making 30 calls is _______.




(Multiple Choice)
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The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test-statistic to test the significance of the slope?
(Multiple Choice)
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What are the degrees of freedom used to test the significance of the slope in a simple linear regression equation?
(Multiple Choice)
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High school students were interested in a teacher's claim that the longer the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.
To test the null hypothesis that the slope is zero, what are the t test statistic and the t-critical values using the 0.05 significance level?

(Essay)
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Using the following information:
If testing the hypothesis: H0: ρ = 0, the computed t-statistic is __________.

(Multiple Choice)
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The hypothesis to test the slope of a regression equation is H0: α = 0.
(True/False)
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In the regression equation, what does the letter "a" represent?
(Multiple Choice)
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The coefficient of correlation and the slope of the regression line always have their __________ in common.
(Short Answer)
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A confidence interval can be determined for the mean value of Y for a given value of X.
(True/False)
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Consider the following regression equation: Y = 30 + 8X. If SSE = 720 and SS Total = 1,200, then the correlation coefficient is _______.
(Multiple Choice)
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The _______________ principle is applied when calculating the regression coefficients.
(Short Answer)
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The regression equation is used to estimate a value of the dependent variable Y based on a selected value of the independent variable X.
(True/False)
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