Analyzing Scatter Plots and Trends

Analyzing Scatter Plots and Trends

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers the basics of scatter plots, focusing on quantitative data analysis. It explains how to interpret scatter plots, identify trends, and recognize outliers. The tutorial also guides viewers on creating scatter plots, choosing appropriate axes, and comparing relationships between different data sets. The emphasis is on understanding linear relationships and the influence of variables.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is typically analyzed using scatter plots?

Qualitative vs Quantitative

None of the above

Qualitative vs Qualitative

Quantitative vs Quantitative

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What kind of relationship are we primarily looking for in this class?

Linear

Exponential

Quadratic

Nonlinear

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example given, what two measurements are being compared in the scatter plot?

Height and age

Weight and arm length

Height and arm length

Height and weight

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a positive trend in a scatter plot?

As one variable increases, the other decreases

As one variable increases, the other remains constant

No relationship between variables

As one variable increases, the other also increases

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What term is used to describe data points that are far from the trend line?

Inliers

Outliers

Medians

Modes

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an unusual observation in a scatter plot?

A point that is at the median

A point that is at the average

A point that is far from the trend

A point that fits the trend

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it not practical to create scatter plots by hand in real life?

Technology can do it more efficiently

It is too time-consuming

It is not accurate

It is too expensive

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