Exam 16: Simple Linear Regression and Correlation
Exam 1: What Is Statistics43 Questions
Exam 2: Graphical Descriptive Techniques I93 Questions
Exam 3: Graphical Descriptive Techniques II183 Questions
Exam 4: Numerical Descriptive Techniques274 Questions
Exam 5: Data Collection and Sampling82 Questions
Exam 6: Probability234 Questions
Exam 7: Random Variables and Discrete Probability Distributions274 Questions
Exam 8: Continuous Probability Distributions215 Questions
Exam 9: Sampling Distributions153 Questions
Exam 10: Introduction to Estimation152 Questions
Exam 11: Introduction to Hypothesis Testing182 Questions
Exam 12: Inference About a Population147 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance153 Questions
Exam 15: Chi-Squared Tests175 Questions
Exam 16: Simple Linear Regression and Correlation298 Questions
Exam 17: Multiple Regression157 Questions
Select questions type
Theatre Revenues
A financier whose specialty is investing in stage productions has observed that, in general, movies with "big-name" stars seem to generate more revenue than those plays whose stars are less well known.To examine his belief he records the gross revenue and the payment (in $ millions) given to the two highest-paid performers in the play for ten recently staged plays.
-{Theatre Revenues Narrative} Determine the least squares regression line.

(Essay)
4.9/5
(23)
Accidents and Rain
A statistician investigating the relationship between the amount of rain (in inches) and the number of automobile accidents gathered data on accidents in her city for 10 randomly selected days throughout the year.The results are shown below.
-{Accidents and Rain Narrative} Find the least squares regression line.

(Essay)
4.9/5
(33)
Wayne Newton Concert
At a recent Wayne Newton concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year.The following data were collected:
An Excel output follows:
-{Oil Quality and Price Narrative} Estimate with 95% confidence the average oil price per barrel for an API degree of 35.


(Essay)
4.8/5
(26)
The regression line
has been fitted to the data points (4, 8), (2, 5), and (1, 2).The sum of the squared residuals will be:

(Multiple Choice)
4.8/5
(40)
Income and Education
A professor of economics wants to study the relationship between income (y in $1000s) and education (x in years).A random sample eight individuals is taken and the results are shown below.
-{Income and Education Narrative} Determine the least squares regression line.

(Essay)
4.9/5
(33)
If all the points in a scatter diagram lie on the least squares regression line, then the coefficient of correlation must be:
(Multiple Choice)
4.8/5
(34)
The smallest value that the standard error of estimate
can assume is:

(Multiple Choice)
4.8/5
(39)
Marc Anthony Concert
At a recent Marc Anthony concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year.The following data were collected:
An Excel output follows:
-{Marc Anthony Concert Narrative} Does it appear that the errors are normally distributed? Explain.


(Essay)
4.9/5
(31)
Oil Quality and Price
Quality of oil is measured in API gravity degrees--the higher the degrees API, the higher the quality.The table shown below is produced by an expert in the field who believes that there is a relationship between quality and price per barrel.
A partial Minitab output follows:
-{Oil Quality and Price Narrative} Draw a scatter diagram of the data.Comment on whether it appears that a linear model might be appropriate to describe the relationship between the quality of oil and price per barrel.





(Essay)
4.7/5
(34)
If the standard error of estimate is ____________________, this implies that the model's fit is poor.
(Short Answer)
4.8/5
(29)
In order to predict with 80% confidence the expected value of y for a given value of x in a simple linear regression problem, a random sample of 15 observations is taken.Which of the following t-table values listed below would be used?
(Multiple Choice)
4.9/5
(30)
Sales and Experience
The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson.To examine this belief she records last month's sales (in $1,000s) and the years of experience of 10 randomly selected salespeople.These data are listed below.
-{Sales and Experience Narrative} Estimate the monthly sales for a salesperson with 16 years of experience.

(Essay)
4.9/5
(24)
In a regression problem the following pairs of (x, y) are given: (3, 1), (3, -1), (3, 0), (3, -2) and (3, 2).That indicates that the:
(Multiple Choice)
4.8/5
(36)
Truck Speed and Gas Mileage
An economist wanted to analyze the relationship between the speed of a truck (x) and its gas mileage (y).As an experiment a truck is operated at several different speeds and for each speed the gas mileage is measured.These data are shown below.
-{Truck Speed and Gas Mileage Narrative} Predict with 99% confidence the gas mileage of a car traveling 55 mph.

(Essay)
4.7/5
(32)
In a simple linear regression model, testing whether the slope 1 of the population regression line could be zero is the same as testing whether or not the population coefficient of correlation
equals zero.

(True/False)
4.8/5
(33)
In performing a regression analysis which of the following must be true about the distribution of the error variable?
(Multiple Choice)
4.8/5
(37)
Trivia Games & Education
An ardent fan of television game shows has observed that, in general, the more educated the contestant, the less money he or she wins.To test her belief she gathers data about the last eight winners of her favorite game show.She records their winnings in dollars and the number of years of education.The results are as follows.
-{Trivia Games & Education Narrative} Draw a scatter diagram of the data.Comment on whether it appears that a linear model might be appropriate.

(Essay)
4.7/5
(35)
Income and Education
A professor of economics wants to study the relationship between income (y in $1000s) and education (x in years).A random sample eight individuals is taken and the results are shown below.
-{Income and Education Narrative} Estimate the income of an individual with 15 years of education.

(Essay)
4.8/5
(46)
Showing 201 - 220 of 298
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)