&KDSWHU
8-11
Value (thousands)
Mileage (thousands)
20 40 60 80 100 120 140 160 180 200
20
18
16
14
12
10
8
6
4
2
Vehicle Resale Value
The numbers for one
data set increase as the
numbers for the other
data set increase.
The numbers for one
data set decrease as the
numbers for the other
data set increase.
There is no pattern in
the way the numbers
for the data sets
increase or decrease.
Positive Correlation Negative Correlation No Correlation
Scatter Plots
Objective To use a coordinate plane to make a scatter plot• To read scatter plots
- To determine the line of best fit• To identify the type of correlation found in the data
Car dealers take many factors into account to
determine how much money to give customers on
the trade-in value of their vehicles. Mileage is one
of the factors. How can you use the data from the
table to show the correlation between the number
of miles a car has been driven and the resale value
of the vehicle?
To use the data to show the correlation (relationship)
between the number of miles a car has been driven
and its resale value, you can make a scatter plot.
A is a graph that compares two related
sets of data on a coordinate plane. Each point on a
scatter plot represents a pair of values.
To make a scatter plot:
Decide on a title for the graph.
Draw a vertical and a horizontal axis.
Choose a scale for each axis, using a range
and intervals that will fit the data.
Use the horizontal axis for the mileage scale
and the vertical axis for the values scale.
Plot a point for each pair of numbers in
the table.
The points show how the values of the vehicles
decrease as the number of miles increases.
In any scatter plot, the data displayed can be
described in three ways.
scatter plot
Mileage
(thousands)
Value
(thousands)
20 18
30 16
40 15
50 14
60 12
80 10
100 9
110 8
120 6
140 4
150 2
Data slopes
downward from
left to right.