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Write the letter of the response that best answers each problem.
x (lb hundreds)
26
35
29
39
20
y(mpg)
22.0
16.1
18.8
15.7
23.4
1. Does the weight of a vehicle affect the gas mileage? The following random sample was collected where x = weight of a vehicle in hundreds of pounds and y = miles per gallon.
(a) -0.941 (b) 0.941 (c) -0.970 (d) 0.970 (e) 0.965
2. If a vehicle weights 2200 pounds, what does the least-squares line predict for the miles per gallon?
(a) 22.7 (b) 66.0 (c) 42.4 (d) 22.0 (e) cannot determine
Construct a 98% prediction interval for the selling price of a 4l- year old house having 4500 square feet, 13 rooms, and an attached garage.
An SRS of 100 of a certain popular model car in 1993 found that 20 had a certain minor defect in the brakes. An SRS of 400 of this model car in 1994 found that 50 had the minor defect in the brakes. Let p1 and p2 be the proportion of all cars of t..
Test hypothesis that annual incomes of corporate trainers in areas of more than 500,000 are considerably more than those in areas of less than 100,000. Make use of the 5% level of risk.
Illustrate what can we say about the probability distribution. Is it approximately normal, elucidate the mean and standard deviation.
Fifty raffle tickets are numbered 1 throughout 50, and one of them is drawn at random. What is the probability that the number is a multiple of 5 or 8? Consider the following "solution": Since 10 tickets bear numbers that are multiples of 5 and 6 ..
A better case can be made that observation 13 (Los Arboles) is an outlier. Describe what this means in plain terms.
What is the probability that all three students pick exactly the same card?
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots
Test the hypothesis that no difference exists between the groups at α = .05 and perform and report all related tests and statistics.
Perform hypothesis testing on one variable's data.
Determine the probability that a randomly selected teacher earns more than $525 per week?
How likely is it that the store owner will make at least $7,000 if she implements your suggestion?
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