Understanding Scatter Plot Associations

Understanding Scatter Plot Associations

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

This instructional video covers scatter plots, focusing on types of associations: positive, negative, and no association. It explains key vocabulary such as linear, nonlinear, strong, weak, outlier, cluster, and trend line. The video includes practical examples and exercises to identify associations and evaluate trend lines in scatter plots, using real-world data like student surveys and city populations.

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11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of association is present when the points on a scatter plot move upwards?

Random Association

Positive Association

Negative Association

No Association

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a negative association, what happens to the variables?

One variable increases, the other decreases

Both variables decrease

Both variables increase

Variables remain constant

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the term 'linear' mean in the context of scatter plots?

Points form a straight line

Points form a curve

Points form a zigzag pattern

Points are scattered randomly

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which term describes a scatter plot where points are close together?

Weak

Nonlinear

Outlier

Strong

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an outlier in a scatter plot?

A point that is separate from the rest

A point that is at the center

A point that fits the pattern

A point that is part of a cluster

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a practice problem, if points start at the bottom and move to the top, what is the association?

Weak Association

Negative Association

Positive Association

No Association

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of association is shown when the size of a home and the cost of utilities both increase?

Inverse Association

No Association

Positive Association

Negative Association

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