Identifying Patterns in a Scatter Plot

Identifying Patterns in a Scatter Plot

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how to analyze a scatter plot by identifying outliers, clusters, and linear associations. It guides viewers through a standardized math test question about a scatter plot showing bank account balances over 12 weeks. The tutorial discusses the absence of outliers and clusters, confirms a positive linear association, and refutes a negative linear association. The lesson concludes with a summary of key concepts, emphasizing the importance of understanding scatter plots in math.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus of the scatter plot discussed in the video?

The number of deposits made each week

The number of transactions in a bank account

The interest rate changes in a bank account

The total amount of money in a bank account over 12 weeks

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What defines an outlier in a scatter plot?

A data point that is very close to other points

A data point that is an abnormal distance from other data points

A data point that follows the general trend

A data point that is part of a cluster

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is clustered data in the context of a scatter plot?

Data points that are randomly distributed

Data points that are evenly spaced

Data points that form a straight line

Data points that are close together with a gap from others

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What indicates a positive linear association in a scatter plot?

Data points decreasing from left to right

Data points forming a horizontal line

Data points increasing from left to right in a linear pattern

Data points forming a vertical line

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the statement about a negative linear association incorrect for this scatter plot?

The data points show a positive trend

The data points are clustered

The line is not decreasing from left to right

The data points are not in a linear pattern

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