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# Paul, Minnesota, is selected.

(See attached file for full problem description)
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A sample of 12 homes sold last week in St. Paul, Minnesota, is selected. Can we conclude that as the size of the home (reported below in thousands of square feet) increases, the selling price (reported in \$ thousands) also increases?
Home Size    Selling   Home Size            Selling
(thousands    Price   (thousands of        Price
of square feet)    (\$ thousands)   square feet)         (\$ thousands)
1.4                 100             1.3 110
1.3 110 .08 85
1.2 105 1.2 105
1.1 120 0.9 75
1.4 80 1.1 70
1.0 105 1.1 95
Following is a regression equation.
Y  = 17.08 + 0.16X
This information is also available: S = 4.05,  X = 210,  X = 9,850 and n = 5.
a. Estimate the value of Y  when X = 50.
b. Develop a 95 percent prediction interval for an individual value of Y for X = 50.
The proprietor of the newly built Ski and Swim Lodge has been considering purchasing or leasing several snowmobiles for the use of guests. The owner found that other financial obligations made it impossible to purchase the machines. Snowmobiles Incorporated (SI) will lease a machine for \$20 a week, including any needed maintenance. According to SI, the usual rental charge to the guests of the lodge is \$25 a week. Gasoline and oil are extra. Snowmobiles Incorporated only leases a machine for the full season. The proprietor of Ski and Swim, knowing that leasing an excessive number of snowmobiles might cause a net loss for the lodge, investigated the records of other resort owners. The combined experience at several other lodges was found to be:
Number of
Snowmobiles
Demanded   Number of
By Guests    Weeks
7 10
8 25
9 45
10 20
a. Design a payoff table.
b. Compute the expected profits for leasing 7,8,9, and 10 snowmobiles based on the cost of leasing of \$20, the rental charge of \$25, and the experience of other lodges.
c. Which alternative is the most profitable?
d. Design an opportunity loss table.
e. Find the expected opportunity losses for leasing 7,8,9 and 10 snowmobiles.
f. Which act would give the least expected opportunity loss?
Tim Waltzer owns and operates Waltzer's Wrecks, a discount car rental agency near the Cleveland Hopkins International Airport. He rents a wreck for \$20 a day. He has an arrangement with Landrum Leasing to purchase used cars at \$6000 each. His cars receive only needed maintenance and, as a result, are worth only \$2000 at the end of the year of operation. Tim has decided to sell all his wrecks every year and purchase a complete set of used cars from Landrum Leasing.
His clerk-accountant provided him with a probability distribution with respect to the number of cars rented per day.
Numbers of Cars Rented per Day
20 21 22 23
Probability    .1 .2 .5 .2
Tim is an avid golfer and tennis player. He is either on the golf course on weekends or playing tennis indoors. Thus, his car rental agency is only open weekdays. Also, he closes for two weeks during the summer and goes on a golfing tour.
The clerk-accountant estimated that it cost \$1.50 per car rental for minimal maintenance and cleaning.
a. How many cars should he purchase to maximize profit?
b. What is the expected value of perfect information?
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A sample of 12 homes sold last week in St. Paul, Minnesota, is selected.
Can we conclude that as the size of the home (reported below in
thousands of square feet) increases, the selling price (reported in \$
thousands) also increases?
Home Size Selling Home Size Selling
(thousands Price (thousands of Price
of square feet) (\$ thousands) square feet) (\$ thousands)
1.4 100
1.3 110
1.3 110
.08 85
1.2 105
1.2 105
1.1 120
0.9 75
1.4 80
1.1 70
1.0 105
1.1 95
Following is a regression equation.
= 17.08 + 0.16X
= 9,850 and n = 5.
when X = 50.
Develop a 95 percent prediction interval for an individual value of Y
for X = 50.
The proprietor of the newly built Ski and Swim Lodge has been
considering purchasing or leasing several snowmobiles for the use of
guests. The owner found that other financial obligations made it
impossible to purchase the machines. Snowmobiles Incorporated (SI) will
lease a machine for \$20 a week, including any needed maintenance.
According to SI, the usual rental charge to the guests of the lodge is
\$25 a week. Gasoline and oil are extra. Snowmobiles Incorporated only
leases a machine for the full season. The proprietor of Ski and Swim,
knowing that leasing an excessive number of snowmobiles might cause a
net loss for the lodge, investigated the records of other resort owners.
The combined experience at several other lodges was found to be:
Number of
Snowmobiles
Demanded Number of
By Guests Weeks
7 10
8 25
9 45
10 20
Design a payoff table.
Compute the expected profits for leasing 7,8,9, and 10 snowmobiles based
on the cost of leasing of \$20, the rental charge of \$25, and the
experience of other lodges.
Which alternative is the most profitable?
Design an opportunity loss table.
Find the expected opportunity losses for leasing 7,8,9 and 10
snowmobiles.
Which act would give the least expected opportunity loss?
Tim Waltzer owns and operates Waltzerâs Wrecks, a discount car rental
agency near the Cleveland Hopkins International Airport. He rents a
wreck for \$20 a day. He has an arrangement with Landrum Leasing to
purchase used cars at \$6000 each. His cars receive only needed
maintenance and, as a result, are worth only \$2000 at the end of the
year of operation. Tim has decided to sell all his wrecks every year and
purchase a complete set of used cars from Landrum Leasing.
His clerk-accountant provided him with a probability distribution with
respect to the number of cars rented per day.
Numbers of Cars Rented per Day
20 21 22 23
Probability .1 .2 .5 .2
Tim is an avid golfer and tennis player. He is either on the golf
course on weekends or playing tennis indoors. Thus, his car rental
agency is only open weekdays. Also, he closes for two weeks during the
summer and goes on a golfing tour.
The clerk-accountant estimated that it cost \$1.50 per car rental for
minimal maintenance and cleaning.
How many cars should he purchase to maximize profit?
What is the expected value of perfect information?

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