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Bivariate Data and Scatter Plots Practice Tests

These Grade 8 Math practice tests cover paired numerical data, scatter plots, positive and negative associations, trends, line of best fit, residuals, outliers, and predictions.

Skills covered

  • Reading ordered pairs, tables, domains, and ranges
  • Describing positive, negative, weak, strong, and no association
  • Interpreting clusters, outliers, trend lines, and residuals
  • Distinguishing interpolation, extrapolation, association, and causation
  • Using real-world data to make and evaluate predictions

How to use these practice tests

Read both axes and their units first. Then describe the direction and strength of the association, inspect unusual points, and use a trend line only within a reasonable data range.

For more Grade 8 Math practice, return to the Grade 8 Math category.

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Grade 8 Bivariate Data and Scatter Plots Practice Tests

Practice Grade 8 Math questions about bivariate data, scatter plots, associations, trend lines, residuals, outliers, predictions, and real-world contexts.

Choose the best answer for each question. Identify both variables, read the scale, describe the association, and distinguish association from causation.

10 Questions
0/10 Questions0 %
Correct 0
Incorrect 0
Unanswered 10
1. QuestionMultiple choice

A scatter plot shows study time and test score with a positive association. What is a reasonable prediction?

Please select an answer first.

Correct answer: A

The correct answer is Students who study more tend to have higher scores..

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: A positive association supports a tendency for scores to increase with study time, not a guarantee.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

A positive association supports a tendency for scores to increase with study time, not a guarantee.

2. QuestionMultiple choice

A scatter plot shows car age and resale value with a negative association. What is reasonable?

Please select an answer first.

Correct answer: B

The correct answer is Older cars tend to have lower resale values..

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: The negative association means value tends to decrease as age increases.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

The negative association means value tends to decrease as age increases.

3. QuestionMultiple choice

A data set shows shoe size and height with a positive association. What should not be concluded automatically?

Please select an answer first.

Correct answer: C

The correct answer is That shoe size causes height..

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: Association alone does not establish causation.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

Association alone does not establish causation.

4. QuestionMultiple choice

A two-way table records favorite sport and grade level. What type of variables are these?

Please select an answer first.

Correct answer: D

The correct answer is Categorical variables.

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: Favorite sport and grade level are categories used to classify observations.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

Favorite sport and grade level are categories used to classify observations.

5. QuestionMultiple choice

A data set records number of practice problems and minutes spent. Which is a possible explanatory variable?

Please select an answer first.

Correct answer: A

The correct answer is Number of practice problems.

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: The explanatory variable is the input used to explain or predict the response.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

The explanatory variable is the input used to explain or predict the response.

6. QuestionMultiple choice

A data set records hours of sunlight and plant height. Which is a possible response variable?

Please select an answer first.

Correct answer: B

The correct answer is Plant height.

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: The response variable is the outcome that may change as sunlight changes.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

The response variable is the outcome that may change as sunlight changes.

7. QuestionMultiple choice

A scatter plot has a positive trend with one unusually low point. What should a student do first?

Please select an answer first.

Correct answer: C

The correct answer is Check the data point and its context..

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: An outlier should be investigated before deciding whether it is an error or a meaningful observation.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

An outlier should be investigated before deciding whether it is an error or a meaningful observation.

8. QuestionMultiple choice

A trend line predicts 45 books sold for 6 hours of advertising. What is 45?

Please select an answer first.

Correct answer: D

The correct answer is The predicted response value.

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: The predicted y-value is the response estimate produced by the model.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

The predicted y-value is the response estimate produced by the model.

9. QuestionMultiple choice

A model is used to predict sales for a temperature never observed in the data and far beyond the range. This is:

Please select an answer first.

Correct answer: A

The correct answer is Extrapolation.

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: The prediction extends beyond the observed input range.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

The prediction extends beyond the observed input range.

10. QuestionMultiple choice

A scatter plot shows no association between shoe color and test score. What is reasonable?

Please select an answer first.

Correct answer: B

The correct answer is Shoe color does not provide a useful linear prediction of score..

  1. Identify the two variables: Name the input and output variables and read each ordered pair, table, or graph carefully.
  2. Analyze the association: No visible association means the variable is not useful for a linear prediction in this data set.
  3. Check the prediction: Decide whether the conclusion is interpolation, extrapolation, association, causation, or an observation about an outlier.

No visible association means the variable is not useful for a linear prediction in this data set.

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