Math Grade 8 Quiz Linear Relationships and Model Fitting – 8.SP.A.2
This standard, emphasizes the importance of straight lines as tools to model relationships between two quantitative variables. In cases where scatter plots suggest a linear association, learners are encouraged to informally fit a straight line and judge its appropriateness based on the closeness of the data points to the line.
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Question 1 of 10
1. Question
Why are straight lines commonly used to model relationships between two quantitative variables?
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Question 2 of 10
2. Question
When examining a scatter plot, what indicates a linear association?
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Question 3 of 10
3. Question
How should you informally fit a straight line to a scatter plot?
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Question 4 of 10
4. Question
What does it mean when data points in a scatter plot are close to the line of best fit?
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Question 5 of 10
5. Question
If a scatter plot has a few points far away from the line of best fit, those points are most likely:
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Question 6 of 10
6. Question
Why is it important to informally assess the fit of a straight line on a scatter plot?
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Question 7 of 10
7. Question
What would you conclude if most of the data points in a scatter plot are far from the line of best fit?
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Question 8 of 10
8. Question
What is the main goal of fitting a line to a scatter plot?
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Question 9 of 10
9. Question
In the context of this standard, what does “informally” imply?
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Question 10 of 10
10. Question
If the data points in a scatter plot are tightly clustered around a downward sloping line, this indicates:
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