1. Opening Notes: Scatter Plots A. Relationships of variables B
Opening Notes: Scatter Plots A. Relationships of variables B. Scatter Plots Display C. Identifying correlations

2. Opening- Relationship of Variables
Which of the following pairs do you think have a cause-and-effect relationship?
1. Height and age
2. Hand span and address
3. Grade average and shoe size
4. Temperature and date

3. Scatter plot Positive correlation Negative correlation No correlation
Vocabulary
Scatter plot
Positive correlation
Negative correlation
No correlation

4. Definitions
Scatter Plot: A scatter plot is a data display which shows if two sets of data or variables are related- also known as correlation.

5. There are three ways to describe data displayed in a scatter plot.
Positive Correlation
Negative Correlation
No Correlation
The values in both data sets increase at the same time-x and y.
The values in one data set increase (x) as the values in the other set decrease (y).
The values in both data sets show no pattern- scattered.

6. Discuss if the scatter plot shown has a positive correlation, negative correlation, or no correlation. Explain.
The graph shows that as area increases, population increases. So the graph shows a positive correlation between the data sets.

7. Discuss if the scatter plot shown has a positive correlation, negative correlation, or no correlation. Explain.
The graph shows that as the year increases, number of tornados increases. So the graph shows a positive correlation between the data sets.

8. 1. Height and number of vacation days
What would the scatter plot look like based on the variables below?
What type of correlation would it be?
1. Height and number of vacation days
The number of vacation days is not related to height. So there would not be any correlation between these two variables.

9. There would not be any correlation between these two variables.
What would the scatter plot look like based on the variables below?
What type of correlation would it be?
2. Eye color and age
There would not be any correlation between these two variables.

10. Ticket Out the Door
Write positive, negative, or no correlation to describe this relationship. Explain
negative correlation; as age increases, attendance decreases.