PRACTICE TESTED QUESTIONS 2026 VERIFIED
ANSWER KEY
◉ The Analytics in Action example in Chapter 8 concerned. Answer:
sales forecasting
◉ CHapter 8 focuses on. Answer: forecasting
◉ A forecast is defined as a(n). Answer: prediction of future values
of a time series.
◉ A set of observations on a variable measured at successive points
in time or over successive periods of time constitute a. Answer: time
series
◉ Which of the following is not present in a time series?. Answer: >
operational variations (correct)
> trend
> seasonality
> cycles
,◉ Jensen Tire & Auto is deciding whether to purchase a
maintenance contract for its new computer wheel alignment and
balancing machine. Managers feel that maintenance expense should
be related to usage, and they collected the following information on
weekly usage (hours) and annual maintenance expense (in
hundreds of dollars).
Use the data to develop an estimated regression equation that could
be used to predict the annual maintenance expense for a given
number of hours of weekly usage. How much of the variation in
sample values of annual maintenance expense does the model you
estimated in explain? Enter your answer as a percent with two
decimal places.. Answer: 85.62 (answer is R square but in percent
form)
◉ Dixie Showtime Movie Theaters, Inc. owns and operates a chain of
cinemas in several markets in the southern United States. The
owners would like to estimate weekly gross revenue as a function of
advertising expenditures. Data for a sample of eight markets for a
recent week follow:
Develop an estimated regression equation with the amount of
television advertising as the independent variable. How much of the
variation in the sample values of weekly gross revenue does the
model explain? Enter your answer as a percent with two decimal
, places.. Answer: 55.52 (answer is R square but in percent form)
(x=tele data / y= gross revenue)
◉ Consider the previous question. Develop an estimated regression
equation with both television advertising and newspaper
advertising as the independent variables. How much of the variation
in the sample values of weekly gross revenue does the model
explain? Enter your answer as a percent with two decimal places..
Answer: 93.22 (answer is R square but in percent form) (y= gross
revenue / x= both tele & news data)
◉ The American Association of Individual (AA1I) On-Line Discount
Broker Survey polls members on their experiences with electronic
trades handled by discount brokers. As part of the survey, members
were asked to rate their satisfaction with the trade price and the
speed of execution, as well as provide an overall satisfaction rating.
Possible responses (scores) were no opinion 1.0), unsatisfied (1),
somewhat satisfied (2), satisfied (3), and very satisfied (4). For each
broker, summary scores were computed by computing a weighted
average of the scores provided by each respondent. A portion of the
survey results follow:
Develop an estimated regression equation using trade price and
speed of execution to predict overall satisfaction with tire broker.
What percentage of the variation in Overall Satisfaction is explained
by this model? Enter your answer as a percentage with two decimal
places.. Answer: 68.27