Name: 
 

Scatter Plots



Multiple Choice
Identify the choice that best completes the statement or answers the question.
 

 1. 

The ideal weight (in stones) of people of varying heights is given in the table below. Draw a scatter plot for the data.

Height (feet/inches)5 ft 0”5 ft 1”5 ft 2”5 ft 3”5 ft 4”5 ft 5”
Weight (stones)9.19.59.81010.410.8






mc001-1.jpg
mc001-2.jpgHeight
Graph I
 





mc001-3.jpg
mc001-4.jpgHeight
Graph III





mc001-5.jpg

mc001-6.jpgHeight
Graph II
 




mc001-7.jpg
mc001-8.jpgHeight
Graph IV
a.
Graph I
c.
Graph III
b.
Graph II
d.
Graph IV
 

 2. 

The table below gives a record of variations of the values of y with the values of x. Use the ordered pairs shown below to write a prediction equation. Use the prediction equation to predict the missing value.

x
0.4
1.2
2.0
3.1
4.5
5.7
7.1
8.4
9.3
9.8
y
7.8
7.1
6.8
6.0
5.2
4.3
3.4
2.3
1.1
?
a.
y = mc002-2.jpg;  1.2
c.
y = mc002-4.jpg; 2.0
b.
y = mc002-3.jpg; 1.2
d.
y = mc002-5.jpg; 2.5
 

 3. 

The table below shows the median selling price of houses in the early 1990s. Use the ordered pairs shown below to write a prediction equation. Use the prediction equation to predict the missing value.

Year
1990
1991
1992
1993
1994
1995
1996
1997
Price ($ thousands)
130
135
122
145
151
139
161
?
a.
y = mc003-2.jpg; 161.01
c.
y = mc003-4.jpg; 36.19
b.
y = mc003-3.jpg
d.
y = mc003-5.jpg; 210
 

 4. 

The data below represents the relationship between the number of incidences of UFO sightings in late 1930s and early 1940s. Use the ordered pairs shown below to write a prediction equation. Use the prediction equation to predict the missing value.

Year of Incidence
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
Number of Incidences
(percent)
0.9
0.8
0.8
1.3
1.4
1.2
1.7
1.8
1.6
1.5
?
a.
y = mc004-2.jpg; 1.808
c.
y = mc004-4.jpg; 1.07
b.
y = mc004-3.jpg; 0.97
d.
y = mc004-5.jpg; 1.40
 



 
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