1. on back shelf-but do not begin.
Math
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Sign into GOFO.
Pick up a Grocery Graph
on back shelf-but do not begin.
Scatter Plots
8.SP.A.1 I can construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

2. AGENDA MILES. Lab-Barbie Bungee Part 2
AGENDA MILES *Lab-Barbie Bungee Part 2 *Interpreting Scatter Plot Associations *GapMinder Video
Videos:

3. Barbie Bungee Task 1. Conduct Experiment 2. Complete Lab Sheet
3.  Check equation on 
   computer
Prepare your Barbie with the number of bands based on your line of best fit for  233 cm (Make an estimate for 400 cm as well)
I will drop from ladder and film with ipad.

4. Investigation & Data Collection
Barbie Bungee Task
Investigation & Data Collection

5. Display Data in Scatterplot
Barbie Bungee Task
Display Data in Scatterplot
(Do 3 trials per each
rubber band increment)

6. Predict and Test your Prediction
How many rubberbands are needed to drop
Barbie from the ladder 7 feet? (without injury)
7 feet =213 cm

7. Relationships-Is there a trend happening?

8. Cars Travelling on Interstate
Is there a relationship? (trend, correlation, association)
Cars Travelling on Interstate
What does each dot represent? How many cars were observed in this survey/collection? 14 What’s the relationship? The more time you spend driving the further you travel. What could happen to prevent this trend? Traffic, car accident, out of gas. What would that data point look like?\? 3 hours 10 miles

9. What is the
trend?
As time has passed smoking has decreased. Why? Cancer, campaigns, taxes

10. Clusters & Outliers

11. Types of Slope-what do you remember
Types of Slope-what do you remember? Take a minute to sketch and label the types of slope in your comp book. Private thinking.

12. How many
did you
Remember?

13. We use slope terms to describe and help make predictions for scatter plots. We call this correlation or association or relationship.

14. S c a t t e r p l o t s
A scatter plot is a graph with points plotted to show a relationship between two sets of data.
Correlation or Association describes the type of relationship between two data sets.

15. Strong
Weak
Weak
Strong

16. Practice Correlations of Graphs

17. Given a situation, can you determine its relationship?

18. - size of an animal and its weight
POSITIVE ASSOCIATION
Examples:
Positive Correlation
- size of an animal and its weight
- size of a soda bottle and its price
As one value increases, the other increases

19. – speed of a runner and the time it takes to run a lap
NEGATIVE ASSOCIATION
Examples:
2. Negative Correlation
– speed of a runner and the time it
takes to run a lap
As one value increases, the other decreases

20. – date of a person’s birthday and his/her height
NO ASSOCIATION
Examples:
3. No Correlation
– date of a person’s birthday and
his/her height
- size of a soda bottle and its flavor
There is no relationship between the data.

21. - size of an animal and its weight
Foldable S c a t t e r p l o t s
Examples:
Positive Correlation
- size of an animal and its weight
- size of a soda bottle and its price
2. No Correlation
– date of a person’s birthday and his/her height
- size of a soda bottle and its flavor
3. Negative Correlation
– speed of a runner and the time it
takes to run a lap

22. Cause and Effect Situations:
Foldable
S c a t t e r p l o t s
Cause and Effect Situations:
The more I practice free throws, the more
I will make.
The more I study effectively, the higher my
grades will be.
Describe the correlation of each situation.

23. GAPMINDER World Statistics https://www. gapminder
When was WWI? WWII? What happens to the graph?

24. The correct answer to this item is choice (C)
The correct answer to this item is choice (C). About 35% of the students selected the correct answer. Looking at the scatterplot, we see that the dots tend to go from the bottom left of the plot to the top right of the plot. This means that students who read more books in February tended to read more books in March.
One way to come to this realization is to select some of the dots and interpret them individually. The very first dot on the left represents a student that read 1 book in February and 3 books in March. The very last dot on the right represents a student that read 10 books in February and 11 books in March. The rest of the dots follow this same trend and therefore students who read more in February read more in March.
Some students that may be familiar with a line of best fit may attempt to imagine or draw a line through the points. This line will have a positive slope, which implies that as the number of books read in February increases, the number of books read in March increases.