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Voorbeeld 3 van de 24 pagina's
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WGU C955 - Module 6: Correlation & Regression Questions With Complete Solutions

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Voorbeeld 3 van de 24 pagina's

WGU C955 - Module 6: Correlation & Regression Questions With Complete Solutions

Voorbeeld van de inhoud

WGU C955 - Module 6: Correlation & Regression Questions
With Complete Solutions

{{ Percentage of people age 12 and older who watched a movie
in the past month after viewing an ad for it targeted to their age
group. For all ages, seven point five percent of the population
watched a movie, for men, five point five percent watched a
movie, nine point five percent of women watched a movie. For
ages twelve to seventeen, five point five percent of the
population watched a movie, four percent of men watched a
movie and seven point five percent of women watched a movie.
For ages eighteen to thirty-nine, seven point five percent of the
population, five point five percent of men were depressed and
nine percent of women watched a movie. For people between
the ages of forty and fifty-nine, nine point five percent of the
population watched a movie. Seven percent of men were
depressed and twelve percent of women in that age bracket
watched a movie. Of the people who were sixty years or over,
five percent of t Correct Answers Can't tell from this display

{{ Scatterplot of advertising dollars spent vs. percent increase in
sales. The linear equation for this scatterplot is y equals zero
point four five four six times x plus sixty-four and one hundred
thirty-three thousandths. }}

Using the scatterplot above, what can we expect the percent
increase in sales to be for an advertising expenditure of $ 165
thousand dollars? Round your answer to the nearest whole
number.

a Around 121 %

,b Around 139 %
c Around 161 %
d Around 198 % Correct Answers Around 139 %

{{ Scatterplot of distance from city center vs. rent. The linear
equation for this scatterplot is y equals negative one hundred
five ten thousandths times x plus ten and three hundred eighty
one thousandths. }}
Using the scatterplot Distance from City Center vs. Monthly
Rent, how far can we expect an apartment to be from the city
center if the monthly rent is $ 980 ? Round your answer to the
nearest mile.

a Around 54 miles
b Around 55 miles
c Around 56 miles
d Around 57 miles Correct Answers Around 55 miles

{{ Scatterplot of Free Media vs. Quarterly Revenue. The linear
equation for this scatterplot is y equals six point four nine five
seven times x plus eighteen point five one four. y=6.4957x +
18.514 }}
company is measuring the effect of free news media on its
quarterly revenue. Using the scatterplot Free Media vs.
Quarterly Revenue, what would the total quarterly revenue be
for a year that had 21 news articles about Zenish Corp.? Round
your answer to the nearest whole number.

a) $154,000
b) $155,000
c) $153,000

, d) $156,000 Correct Answers $155,000

{{ Scatterplot of widget production levels and incidence of
defects. The points decrease on the y-axis as the value in the x-
axis increase. The points can be connected in a nearly straight
line. }}
Which of the following is the best estimate of the correlation
coefficient for the above scatterplot?

a) .90
b) .5
c) −.95
d) −.3 Correct Answers -.95

{{ Scatterplot showing the relationship between productivity
and sick days. The points move loosely up and to the right. }}
To better understand employee burn-out, Kinetic Inc. is looking
at the relationship between the productivity of its sales force
(measured in the number of cold calls per work day, averaged
across the work year) and the number of sick days taken in a
year. The scatterplot shows the results of their data gathered
from company records. What trend do you see?

a) Employees who make more phone calls per day tend to take
more sick days.
b) There is no relationship between the average number of
phone calls per day and sick days.
c) As the number of sick days increases, the employee averages
a lower number of phone calls.
d) All of the above Correct Answers Employees who make
more phone calls per day tend to take more sick days.

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