Mixed Practice A

Practice a balanced mix of scatterplot, model, residual, and table skills.

This set blends predictions, slope and intercept interpretation, correlation, and categorical association.

How to use this set

Move one question at a time. Decide whether you are reading a model, reading a graph, or comparing groups.

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Set Focus

Mixed data review

A steady checkpoint before the deeper mixed set.

Models

Use y = mx + b to predict and interpret.

Residuals

Use actual - predicted accurately.

Tables

Compare row or column percentages.

Association

Separate association from causation.

Practice Questions

Mixed Review A

Check your answer first, then reveal the explanation when you want the model.

Question 1

Prediction

A line of best fit is y=2.5x+15. What is the predicted value when x=10?

Question 2

Slope in context

The model y=7x+12 predicts total earnings y, in dollars, after x hours. What does 7 mean?

Question 3

Y-intercept in context

The model y=7x+12 predicts total earnings y, in dollars, after x hours. What does 12 mean?

Question 4

Residual

A student predicted 88 points, but the actual score was 91 points. What is the residual?

Question 5

Correlation

Which r-value shows the strongest linear relationship?

Question 6

Two-way table percent

The table shows club membership and music preference. What percent of students in band prefer jazz?

Club and music preference

Club	Prefers jazz	Prefers pop	Total
Band	18	12	30
Art	10	20	30
Total	28	32	60

Question 7

Association

Using the club table, which statement is best supported?

Club and music preference

Club	Prefers jazz	Prefers pop	Total
Band	18	12	30
Art	10	20	30
Total	28	32	60

Question 8

Interpolation versus extrapolation

A scatterplot uses data for students ages 14 through 18. Predicting for age 16 is what type of prediction?

Question 9

Scatterplot direction

The scatterplot shows outdoor temperature and hot chocolate sales. Which description fits the data?

Temperature and hot chocolate sales

Question 10

Causation

Which statement correctly describes association and causation?

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