1. “Scatter Plots” and “Lines of Fit”
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“Scatter Plots” and “Lines of Fit”

2. Scatter Plots & Lines of Fit
The points of a set of real world data do not always lie on a line
Sometimes you can draw a line that is close to all the points
This graph represents the relationship between the year (x) and the number of Whooping cranes (y)

3. Scatter Plots: Two sets of data plotted as ordered pairs
Here the 2 sets of data are: Years (x) &
# of Whooping Cranes (y)
Scatter Plots are used to investigate patterns in data

4. Analyzing Data :
If the scatter plot is linear you can draw a line to summarize the data.
This helps you to identify trends in the data.
Also helps you identify the type of correlation.
The year positively correlates to the number of Whooping Cranes.

5. Correlation: .

6. Correlation is like Slope
As the years progressed (increased) the number of Whooping Crane grew (increased).
This scatter plot shows a positive correlation in the data.
Look at the Line of Fit and notice the positive slope

7. Is there a correlation?

8. Is there a correlation?

9. What (if any) is the correlation?
Exam the table. Determine what correlation, if any, exists in the data.

10. Okay Then, your turn #1) Is there a correlation? What is it?
What does it mean?
TAKE A CHANCE Write an equation of the line of fit

11. What (if any) is the correlation?
#2)
Is there a correlation?
What is it?
What does it mean?
Write an equation of the line of fit

12. What (if any) is the correlation?
#3)
Is there a correlation?
What is it?
What does it mean?
Write an equation of the line of fit