1. Learn to create and interpret scatter plots.

2. Vocabulary
scatter plot
correlation
line of best fit

3. A scatter plot is a graph with points plotted to show a relationship between two sets of data.
Correlation describes the type of relationship between two data sets.

4. No correlation: changes in one data set do not affect the other data set.
Negative correlation: as one data set increases, the other decreases.
Positive correlation: both data sets increase together.

5. Additional Example 1: Making a Scatter Plot of a Data Set
Use the given data to make a scatter plot of the weight and height of each member of a basketball team, and describe the correlation.
The points on the scatter plot are (71, 170), (68, 160), (70, 175), (73, 180), and (74, 190).
There is a positive correlation between the two data sets.

6. There is a positive correlation between the two data sets.
Check It Out: Example 1
Use the given data to make a scatter plot of the weight and height of each member of a soccer team, and describe the correlation.
200
190
180
170
160
150
140
130
120
Height (in)
Weight (lbs) 63
125 67
156 69
175
Weight 68
135 62
120
The points on the scatter plot are (63, 125), (67, 156), (69, 175), (68, 135), and (62, 120).
Height
There is a positive correlation between the two data sets.

7. Additional Example 2: Using a Scatter plot to Make Predictions
Make a scatter blot of the data, and draw a line of best fit. Then use the data to predict how much a worker will earn in tips in 10 hours.
Tips earned may be dependent on the number of hours worked.
Step 1: Make a scatter plot.
Let hours worked represent the independent variable x and tips earned represent the dependent variable y.

8. Additional Example 2 Continued
Step 2: Draw a line of best fit.
Draw a line that has about the same number of points above and below it.

9. Additional Example 2 Continued
Step 3: Make a prediction.
According to the graph, working 10 hours will earn about $24 in tips.
Find the point on the line whose x-value is 10. The corresponding y-value is about 24.

10. Circuit Board Assemblies 2 7 5 12
Check It Out: Example 3
Use the data to predict how many circuit boards a worker will assemble in 10 hours.
Hours Worked 4 8 6 9 11
Circuit Board Assemblies 2 7 5 12
Hours
According to the graph, a worker will assemble approximately 10 circuit boards in 10 hours.
Circuit Board Assemblies