College Algebra G&M—
53. Business start-up costs: As
many new businesses open,
they experience a period
where little or no profit is
realized due to start-up
expenses, equipment
purchases, and so on. The data
given shows the profit of a
new company for the first 6
months of business. Use the
data to draw a scatterplot, then
use the context and scatterplot
to find the regression equation. According to the
model, what is the first month that a profit will be
earned?
54. Low birth weight: For many
years, the association between
low birth weight (less than
2500 g or about 5.5 lb) and a
mother’s age has been well
documented. The data given
are grouped by age and give
the percent of total births with
low birth weight.
Source: National Vital Statistics Report,
Vol. 50, No. 5, February 12, 2002.
a. Using the data and the median age of each
group, draw a scatterplot and decide on an
appropriate form of regression.
b. Find a regression equation that models the
data. According to the model, what percent of
births will have a low birth weight if the
mother was 58 years old?
55. Growth of cell phone
use: The tremendous
surge in cell phone
use that began in the
early nineties has
continued unabated
into the new century.
The total number of
subscriptions is shown
in the table for
selected years, with
and the
number of subscriptions in millions. Use the data
to draw a scatterplot. Does the data seem to follow
an exponential or logistic pattern? Find the
regression equation. According to the model, how
many subscriptions were there in 1997? How many
subscriptions does your model project for 2005?
2010? In what year will the subscriptions exceed
220 million?
Source:
2000/2004
Statistical Abstracts of the United States,
Tables 919/1144.
1990 S 0
56. Absorption rates of fabric:
Using time lapse photography,
the spread of a liquid is tracked
in one-fifth of a second intervals,
as a small amount of liquid is
dropped on a piece of fabric. Use
the data to draw a scatterplot,
then use the context and
scatterplot to find the regression
equation. To the nearest
hundredth of a second, how long
did it take the stain to reach a
size of 15 mm?
57. Planetary orbits: The table
shown gives the time required for the first five
planets to make one complete revolution around the
Sun (in years), along
with the average
orbital radius of the
planet in astronomical
units (
million miles). Use a
graphing calculator to
draw the scatterplot,
then use the
scatterplot, the context, and any previous experience
to decide whether a polynomial, exponential,
logarithmic, or power regression is most appropriate.
Then (a) find the regression equation and use it to
estimate the average orbital radius of Saturn, given it
orbits the Sun every 29.46 yr, and (b) estimate how
many years it takes Uranus to orbit the Sun, given it
has an average orbital radius of 19.2 AU.
58. Ocean temperatures: The
temperature of ocean water
depends on several factors,
including salinity, latitude,
depth, and density. However,
between depths of 125 m and
2000 m, ocean temperatures
are relatively predictable, as
indicated by the data shown
for tropical oceans in the
table. Use a graphing
calculator to draw the
scatterplot, then use the
scatterplot, the context, and
any previous experience to
decide whether a polynomial,
exponential, logarithmic, or power regression is
1 AU ⫽ 92.96
5–85 Section 5.7 Exponential, Logarithmic, and Logistic Equation Models 563
Profit
Month ($1000s)
1
2
3
4
5
6 ⫺19
⫺21
⫺20
⫺18
⫺13
⫺5
Ages Percent
15–19 8.5
20–24 6.5
25–29 5.2
30–34 5
35–39 6
40–44 8
45–54 10
Year Subscriptions
(millions)
0 5.3
3 16.0
6 44.0
8 69.2
12 140.0
13 158.7
(1990 S 0)
Time Size
(sec) (mm)
0.2 0.39
0.4 1.27
0.6 3.90
0.8 10.60
1.0 21.50
1.2 31.30
1.4 36.30
1.6 38.10
1.8 39.00
Planet Years Radius
Mercury 0.24 0.39
Venus 0.62 0.72
Earth 1.00 1.00
Mars 1.88 1.52
Jupiter 11.86 5.20
Depth Temp
(meters) ( )
125 13.0
250 9.0
500 6.0
750 5.0
1000 4.4
1250 3.8
1500 3.1
1750 2.8
2000 2.5
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