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Question: One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. The data are in a file called Automobiles. The editor is particularly interested in the relationship between highway mileage and curb weight of the vehicles.
a. Develop a scatter plot for these data. Discuss what the plot implies about the relationship between the two variables. Assume that you wish to predict highway mileage by using vehicle curb weight.
b. Compute the correlation coefficient for the two variables and test to determine whether there is alinear relationship between the curb weight and the highway mileage of automobiles.
c. (1) Compute the linear regression equation based on the sample data.
(2) A CTS Sedan weighs approximately 4,012 pounds. Provide an estimate of the average highway mileage you would expect to obtain from this model.
The sample service times (in minutes) are 5.2, 7.5, 4.8, 11.4, 9.8, 10.5, 8.2, 11.0, 12.0, 8.5. Find the total expected loss per customer. If the restaurant expects 2000 customers monthly, what is the expected monthly loss?
a certain disease is found in one person in 5000. if a person does have the disease the test will show a positive
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Mike, Joe and Bill are Painting a fence. The painting can be finished if Mike and Joe work together for 4 hours and Bill works alone for 2 hours, or if Mike and Joe work together for 2 hours, and Bill works alone for 5 hours, or if Mike works alon..
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Prove that all odd central moments of a Gaussian random variable are equal to zero. - Furthermore, develop an expression for all even central moments of a Gaussian random variable.
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