Scatter Plots in Eighth Grade Math

Scatter Plots in Eighth Grade Math

Assessment

Interactive Video

Mathematics

8th Grade

Easy

Created by

Olivia Brooks

Used 12+ times

FREE Resource

The video tutorial covers scatter plots in eighth-grade math, focusing on graphing bivariate data to show relationships between two data sets. It explains how to interpret scatter plots, identify clusters and outliers, and understand associations as positive, negative, or none. The tutorial provides examples of how data points can indicate different types of relationships and associations.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is bivariate data?

Data with two paired variables

Data with no variables

Data with one variable

Data with three variables

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a scatter plot show?

The relationship between two data sets

The mode of a data set

The median of a data set

The average of a data set

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a scatter plot, what does the X-axis typically represent?

The dependent variable

The independent variable

The average value

The mode

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the number of buyers as the price of an item increases?

The number of buyers increases

The number of buyers decreases

The number of buyers fluctuates randomly

The number of buyers stays the same

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a cluster in a scatter plot?

A data point far from the rest

A line connecting data points

A group of closely grouped data points

A single data point

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an outlier in a scatter plot?

A data point that is different from the rest

A group of closely grouped data points

A line connecting data points

A data point that follows the trend

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of association is shown when both X and Y data increase?

No association

Inverse association

Negative association

Positive association

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