Name
Date
LESSON
Class
Practice B
4-7 Scatter Plots
1. Use the given data to make a scatter plot.
Tall Buildings in U.S. Cities
Building
City
Stories
Height (meters)
Sears Tower
Chicago
110
442
Empire State Building
New York
102
381
Bank of America Plaza
Atlanta
55
312
Library Tower
Los Angeles
75
310
Key Tower
Cleveland
57
290
Columbia Seafirst Center
Seattle
76
287
NationsBank Plaza
Dallas
72
281
NationsBank Corporate Center
Charlotte
60
265
Tall Buildings in U.S. Cities
Do the data sets have a positive, a negative, or no correlation?
2. The temperature outside and the
number of ice cream cones sold
3. The amount of time spent in the
bathtub and the temperature of the
bath water
4. Use the data to predict the percent of Americans owning a home
in 1955.
Percent of Americans Owning Homes
Year
Percent
1950
1960
1970
1980
1990
55.0%
61.9%
62.9%
64.4%
64.2%
In 1955, about
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% of Americans owned a home.
66
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Practice B
4-7 Scatter Plots
Practice A
4-7 Scatter Plots
LESSON
LESSON
1. Use the given data to make a scatter plot.
1. Use the given data to make a scatter plot.
Calories and Fat Per Portion of Meat & Fish
Tall Buildings in U.S. Cities
Fat (grams)
Calories
Fish sticks (breaded)
3
50
Sears Tower
Chicago
110
442
Shrimp (fried)
9
190
Empire State Building
New York
102
381
Building
City
Stories
Height (meters)
Tuna (canned in oil)
7
170
Bank of America Plaza
Atlanta
55
312
Ground beef (broiled)
10
185
Library Tower
Los Angeles
75
310
Roast beef (relatively lean)
7
165
Key Tower
Cleveland
57
290
Ham (light cure, lean and fat)
19
245
Columbia Seafirst Center
Seattle
76
287
350
300
250
200
150
100
50
0
NationsBank Plaza
Dallas
72
281
NationsBank Corporate Center
Charlotte
60
265
Tall Buildings in U.S. Cities
4
6
8 10 12 14 16 18 20 22 24 26 28 30 32
Fat (grams)
60
70
80
90 100
Stories
Do the data sets have a positive, a negative, or no correlation?
2. The size of the bag of popcorn and
the price of the popcorn
3. The increase in temperature and
number of snowboards sold.
positive correlation
2. The temperature outside and the
number of ice cream cones sold
4. Use the data to predict how much money Tyler would get paid
1
for babysitting 7ᎏ2ᎏ hours.
positive correlation
1
2
3
4
5
6
7
8
$4
$8
$12
$16
$20
$24
$28
$32
Tyler would get paid $
30
1
Percent
1950
1960
1970
1980
1990
55.0%
61.9%
62.9%
64.4%
64.2%
In 1955, about
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Pre-Algebra
Two sets of data can be graphed as points in a scatter plot.
If there is a relationship between the data sets, a line of best fit
can be drawn to follow the pattern.
Largest Lakes of North America
Area (square miles)
Length (miles)
Maximum Depth (ft)
31,700
350
1330
Huron
23,000
206
750
Michigan
22,300
307
923
Great Slave
2015
11,031
298
Erie
9910
241
210
Ontario
7340
193
802
Athabasca
3064
208
407
Reindeer
2568
143
720
Length (hundreds of miles)
66
LESSON
1. Use the given data to make a scatter plot of length and
maximum depth of the largest lakes of North America.
Negative correlation:
values of one set
increase while values of
the other set decrease.
Positive correlation:
both sets of data
increase or decrease
together.
4
1.
3
2
Time (hours)
1
2
2.5
6
Distance (miles)
50
150
175
270
The values for
time are: increasing
distance are:
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Maximum Depth (hundreds of feet)
So, there is a
2.
Do the data sets have a positive, a negative, or no correlation?
2. The amount of time spent exercising
and the number of calories burned
3. The discount percent of an item and
the total cost of the item
positive correlation
increasing
positive
negative correlation
6
4
2
1
Number of Days
1
2
5
7
the number of workers are:
negative
correlation.
Median Four-Person Family Income
Income
1975
1980
1985
1990
1995
1999
$15,848
$24,332
$32,777
$41,151
$49,687
$59,981
In 1982, the median four-person family income was about
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67
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All rights reserved.
$28,000
200
100
2
4
6
Time (hours)
8
2
4
6
Workers
8
8
6
increasing
decreasing
So, there is a
300
correlation.
Number of Workers
The values for
the number of days are:
6. Use the data to estimate the median four-person family income
in 1982.
Year
No correlation: points
neither increase nor
decrease together.
Complete to determine if the two data sets show a correlation.
Make a scatter plot. Include a line of best fit if there is a
correlation.
Largest Lakes of North America
1
% of Americans owned a home.
Reteach
4-7 Scatter Plots
Practice C
4-7 Scatter Plots
Superior
58.5
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All rights reserved.
LESSON
Lake
negative correlation
Percent of Americans Owning Homes
Year
for babysitting 7ᎏ2ᎏ hours.
Copyright © by Holt, Rinehart and Winston.
All rights reserved.
3. The amount of time spent in the
bathtub and the temperature of the
bath water
4. Use the data to predict the percent of Americans owning a home
in 1955.
Amount Tyler Earns Babysitting
Amount
120
Do the data sets have a positive, a negative, or no correlation?
negative correlation
Hours
110
Distance (miles)
2
500
400
300
200
100
0
Days
0
Height (in meters)
Calories
Calories and Fat Per Portion of Meat and Fish
4
2
.
Holt Middle
School Math
Holt Pre-Algebra
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