Exam 11: Simple Regression
Exam 1: Describing Data: Graphical247 Questions
Exam 2: Describing Data: Numerical326 Questions
Exam 3: Probability345 Questions
Exam 4: Discrete Random Variables and Probability Distributions257 Questions
Exam 5: Continuous Random Variables and Probability Distributions239 Questions
Exam 6: Sampling and Sampling Distributions147 Questions
Exam 7: Estimation: Single Population151 Questions
Exam 8: Estimation: Additional Topics109 Questions
Exam 9: Hypothesis Testing: Single Population164 Questions
Exam 10: Hypothesis Testing: Additional Topics103 Questions
Exam 11: Simple Regression217 Questions
Exam 12: Multiple Regression252 Questions
Exam 13: Additional Topics in Regression Analysis168 Questions
Exam 14: Analysis of Categorical Data241 Questions
Exam 15: Analysis of Variance192 Questions
Exam 16: Time-Series Analysis and Forecasting138 Questions
Exam 17: Additional Topics in Sampling110 Questions
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor of statistics is interested in studying the relationship between the number of hours graduate students spent studying for his comprehensive final exam and the exam score.The results of the regression analysis of hours studied on exam scores are presented below.
-Which value of the following values of coefficients of correlation indicates a stronger correlation than 0.50?

(Multiple Choice)
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The manager of a used-car dealership is very interested in the resale price of used cars.The manager feels that the age of the car is important in determining the resale value.He collects data on the age and resale value of 15 cars and runs a regression analysis with the value of the car (in thousands of dollars)as the dependent variable and the age of the car (in years)as the independent variable.Unfortunately,the printout had lost some of the results,identified by"A" through"F".The partial results left are displayed below.
-What is the value of "C"?

(Multiple Choice)
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
The manager of a used-car dealership is very interested in the resale price of used cars.The manager feels that the age of the car is important in determining the resale value.He collects data on the age and resale value of 15 cars and runs a regression analysis with the value of the car (in thousands of dollars)as the dependent variable and the age of the car (in years)as the independent variable.Unfortunately,the printout had lost some of the results,identified by"A" through"F".The partial results left are displayed below.
-Calculate the value of "E."

(Multiple Choice)
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
You are interested in exploring the relationship between the income of professors (measured in thousands of dollars)and the number of years they have been employed by the university.You collect the following data from eight professors.
-How would you interpret the coefficient of determination?

(Essay)
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The following regression statistics are given: sample size is 40,SST = 1000,and the correlation between x and y is 0.70.
-Compute the regression sum of squares,SSR.
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What would be the dollar value of an accident involving a 25-year-old driver?
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
The following regression statistics are given: sample size is 40,SST = 1000,and the correlation between x and y is 0.70.
-Compute the coefficient of determination.
(Essay)
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A regression analysis between sales (in $1000)and advertising (in $)resulted in the following least squares line:
= 80,000 + 4x.This implies that:

(Multiple Choice)
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In a recent survey,250 adults were asked about their monthly expenditures (in dollars)on the lottery.In addition,data were collected about the number of years of education they had.A simple regression was run,and the following results were obtained: b0 = 35.6,b1 = -2.37,s
= 18.9,and s
= 1.28.
-How would you interpret the slope coefficient b1?


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The divisor of the standard error of estimate in a simple linear regression is n - 2.
(True/False)
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The regression sum of squares (SSR)can never be greater than the error sum of squares (SSE).
(True/False)
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
You want to explore the relationship between the grades students receive on their first quiz (x)and their first exam (y).The first quiz and test scores for a sample of eight students reveal the following summary statistics:
-The sample correlation coefficient is:

(Multiple Choice)
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor of statistics is interested in studying the relationship between the number of hours graduate students spent studying for his comprehensive final exam and the exam score.The results of the regression analysis of hours studied on exam scores are presented below.
-Which of the following is true of the least squares equation,
= 20 + 5x?


(Multiple Choice)
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
The results of a regression analysis are listed below but,unfortunately,some values as identified by asterisks are missing.
SUMMARY OUTPUT
-Calculate the coefficient of determination.

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The data below are for the number of unemployed persons (in millions)and the federal unemployment insurance payments (in billions of dollars)for the years 1978-1985.Some economists state that these two variables are positively related.
-Develop a scatter diagram for these data.


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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor of statistics is interested in studying the relationship between the number of hours graduate students spent studying for his comprehensive final exam and the exam score.The results of the regression analysis of hours studied on exam scores are presented below.
-Determine the intercept of the sample regression line.

(Multiple Choice)
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
You are interested in exploring the relationship between the income of professors (measured in thousands of dollars)and the number of years they have been employed by the university.You collect the following data from eight professors.
-How would you interpret the slope coefficient b1?

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