Math Grade 8 Quiz Linear Relationships and Model Fitting - 8.SP.A.2 | Tutorified.com Quizzes

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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?
- A) They are easy to draw.
- B) All relationships are linear.
- C) They provide a clear visual representation of linear relationships.
- D) They always fit data points perfectly.
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Question 2 of 10

2. Question
When examining a scatter plot, what indicates a linear association?
- A) All points form a circle.
- B) Most of the data points are close to a straight line.
- C) Points are scattered randomly.
- D) Data points form multiple clusters.
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Question 3 of 10

3. Question
How should you informally fit a straight line to a scatter plot?
- A) Ensure the line touches every data point.
- B) Draw the line through the exact middle of the scatter plot.
- C) Draw a line that represents the general trend of the data.
- D) Fit the line only to outliers.
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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?
- A) The line of best fit is inappropriate.
- B) There's a strong linear association between the two variables.
- C) There's no relationship between the two variables.
- D) The scatter plot is random.
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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:
- A) Indicators of a strong linear relationship.
- B) Irrelevant to the dataset.
- C) Outliers.
- D) The most important points in the dataset.
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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?
- A) To ensure the line is straight.
- B) To verify that the relationship is truly linear.
- C) To check the accuracy of each data point.
- D) To create a perfect line.
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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?
- A) The data points are irrelevant.
- B) There's a perfect linear association.
- C) The linear model might not be the best fit for this data.
- D) The scatter plot is random.
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Question 8 of 10

8. Question
What is the main goal of fitting a line to a scatter plot?
- A) To predict future data points.
- B) To touch every single data point.
- C) To visually represent the overall trend of the data.
- D) To create a nonlinear relationship.
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Question 9 of 10

9. Question
In the context of this standard, what does “informally” imply?
- A) Using strict mathematical techniques.
- B) Relying only on visual judgment without strict calculations.
- C) Ignoring the data points.
- D) Always creating a perfect fit.
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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:
- A) A positive linear association.
- B) No association.
- C) A negative linear association.
- D) A nonlinear relationship.
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