Scatter Plots and Data Analysis

Grade 8 Mathematics

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The Big Idea

A SCATTER PLOT shows the relationship between TWO variables.

We look for patterns called ASSOCIATIONS - does one variable change as the other changes?

A LINE OF BEST FIT helps us see the trend and make predictions!

POSITIVE ASSOCIATION

As x increases, y INCREASES

Goes UP from left to right

NEGATIVE ASSOCIATION

As x increases, y DECREASES

Goes DOWN from left to right

NO ASSOCIATION

No clear pattern

Points are scattered randomly

Example 1: Identifying Association

A researcher collected data on hours of sleep and number of mistakes made on a test:

Hours of SleepMistakes
412
510
68
75
83
92
1

Identify variables: x = hours of sleep, y = number of mistakes

2

Look at the pattern: As sleep increases (4, 5, 6, 7, 8, 9), mistakes decrease (12, 10, 8, 5, 3, 2)

3

Identify association: NEGATIVE association (one goes up, the other goes down)

4

Interpret in context: "As the number of hours of sleep increases, the number of mistakes tends to decrease."

Example 2: Line of Best Fit

The scatter plot shows hours studied vs. test scores.

Points: (1, 65), (2, 70), (3, 72), (4, 80), (5, 85), (6, 88)

1

Look at the pattern: Points go UP from left to right = POSITIVE linear association

2

Draw the line: The line should follow the direction of points with roughly equal points above and below

3

Make a prediction: Using the line, if a student studies 7 hours, we can predict they might score around 92-95.

TRAP ALERT: Association vs. Causation!

WRONG: "The scatter plot shows that sleeping more CAUSES fewer mistakes." We can't prove causation from a scatter plot!

RIGHT: "The scatter plot shows that more sleep is ASSOCIATED WITH fewer mistakes." Association means there's a relationship, but we can't prove one CAUSES the other.

Your Turn: Practice Problems

1. A scatter plot shows the relationship between temperature (x) and hot chocolate sales (y). As temperature increases, sales decrease. What type of association is this?

Association type:

2. A scatter plot shows the relationship between shoe size and test scores. The points are scattered with no pattern. What type of association is this?

Association type:

3. The scatter plot below shows age (x) and height (y) for students ages 5-18. Is this association linear or non-linear? Explain.

Hint: Do people grow at a constant rate, or do they have growth spurts?

Linear or Non-linear:

Explanation:

4. A line of best fit passes through (2, 50) and (6, 90). Use these points to predict the y-value when x = 4.

Hint: 4 is exactly halfway between 2 and 6!

Predicted y-value:

Remember!