Scatterplots & Functions Q2 Review

Scatterplots & Functions Q2 Review

Assessment

Flashcard

Mathematics

8th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

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15 questions

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1.

FLASHCARD QUESTION

Front

What is a scatterplot?

Back

A scatterplot is a graph that shows the relationship between two quantitative variables. Each point on the graph represents an observation from the data set.

2.

FLASHCARD QUESTION

Front

How do you interpret the correlation in a scatterplot?

Back

Correlation in a scatterplot indicates the strength and direction of a relationship between two variables. A positive correlation means that as one variable increases, the other also increases. A negative correlation means that as one variable increases, the other decreases.

3.

FLASHCARD QUESTION

Front

What does a strong positive correlation look like on a scatterplot?

Back

A strong positive correlation appears as points that are closely clustered around a line that slopes upwards from left to right.

4.

FLASHCARD QUESTION

Front

What does a strong negative correlation look like on a scatterplot?

Back

A strong negative correlation appears as points that are closely clustered around a line that slopes downwards from left to right.

5.

FLASHCARD QUESTION

Front

What is the purpose of a trend line in a scatterplot?

Back

A trend line, or line of best fit, is used to summarize the relationship between the variables in a scatterplot. It helps to predict values and understand the overall direction of the data.

6.

FLASHCARD QUESTION

Front

What does it mean if there is no correlation in a scatterplot?

Back

No correlation means that there is no discernible relationship between the two variables. The points on the scatterplot are scattered randomly.

7.

FLASHCARD QUESTION

Front

How can outliers affect a scatterplot?

Back

Outliers can skew the interpretation of the data in a scatterplot. They can affect the slope of the trend line and may lead to misleading conclusions about the relationship between the variables.

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