1. Suppose that n=100 recent residential home sales in
a city are used to fit a least squares straight-line model relating the
sales price, P, to the square feet
of living space, S. Homes in the sample range from 1,500 square feet to
4,000 square feet
of living space, and the resulting
least squares equation is
b. This homeowner is considering building an addition
to his house. The contractor estimates that the cost per square foot to
add on to the house is $55.60. The
homeowner considers the home an investment when making the decision to
add on and
wants to maximize profits. Use the
relevant information provided in this situation to propose a decision to
the homeowner.
Decision:
___ Build the addition
___ Do not build the addition
Explain the decision. Be sure to use
the relevant information.
c. Suppose a house currently contains 2000 square feet.
Use the model to estimate the mean sales price. Show your work.
2. A car dealer is interested in modeling the relationship
between the number of cars sold by the firm each week, C, and the
number of salespeople who work on
the showroom floor per week, S. The dealer believes the relationship between
the two variables can best be described
by a straight line. Using data supplied by the dealer the following model
results
a. Interpret the 3.125 for the dealer who has not taken
statistics and took algebra too long ago to recall technical terms (refer
to test instructions).
b. The dealer, Ms. Thornapple, is considering hiring an
additional salesperson at a base salary of $400 per week. She plans
to constrain the bargains of the new
salesperson so that the net revenue for her for each car this person sells
is $100 (the
$100 per car covers all costs except
the base salary for the new employee--there are no hidden costs here
that you
need to consider). She wants to maximize
profits. Use the relevant information provided in this situation to propose
a
decision for her.
Decision:
___ Hire the additional salesperson
___ Do not hire an additional salesperson
Explain the decision. Be sure to use
the relevant information.
c. Suppose there are 6 salesperson in the force. Use the
model to estimate the mean number of cars sold per week by this
force. Show your work.
3. A factory manager believes he can approximate the relationship
between output of parts per week, Q, and number of
workers per week, W, with a linear
production function for the levels of employment experienced over the last
45 weeks.
Using data for these weeks, he estimates
a. Interpret the 30.8 for the manager who has not taken
statistics and took algebra too long ago to recall technical terms (refer
to test instructions).
b. The manager has learned of a robot that he believes
will, on average, add 421.3 parts per week to production if set
alongside the existing employees.
The cost of the robot is $2000, but the parts are only guaranteed to last
a week, so
that robots must be replaced each
week (replacement is cheaper than repairs and maintenance costs). If additional
employees will cost $200 each per
week and the manager can allocate $2000 more dollars, which should he add
to the
production line if he wants to maximize
output?
___ One robot
___ Ten new employees
Explain the decision. Be sure to use
the relevant information.
c. Use the estimated model to forecast the mean output
if there are 200 employees working on the production process. Show
your work.
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