Data & Modeling Practice

Mini EOC Practice

Check readiness with a compact EOC-style data and modeling set.

This mini EOC blends scatterplots, linear model interpretation, residuals, correlation, two-way tables, and prediction validity.

How to use this set

Work like it is test day: read the context, choose carefully, then use the explanation to tighten the strategy.

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Set Focus

EOC-style data readiness

A short mixed set with the data and modeling moves students need most often.

Scatterplots

Identify trend direction and strength.

Linear models

Interpret slope, y-intercept, and predictions.

Residuals

Calculate and interpret actual - predicted.

Association

Use tables and context without overclaiming causation.

Practice Questions

Mini EOC Practice

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

Question 1

Scatterplot trend

A scatterplot of bike speed and travel time for the same route shows that higher speeds usually have lower travel times. What association is shown?

Question 2

Linear model

A line of best fit is y=9x+4. What is the predicted y-value when x=5?

Question 3

Slope

For the model y=9x+4, what is the slope?

Question 4

Y-intercept

For the model y=9x+4, what is the y-intercept?

Question 5

Residual

A model predicts 64, and the actual value is 70. What is the residual?

Question 6

Correlation

Which correlation coefficient shows the strongest positive linear relationship?

Question 7

Two-way table

The table shows homework completion and quiz result. What percent of students who completed homework passed?

Homework and quiz result

Homework	Passed	Did not pass	Total
Completed	32	8	40
Not completed	12	18	30
Total	44	26	70

Question 8

Association in categorical data

Using the homework table, which statement is best supported?

Homework and quiz result

Homework	Passed	Did not pass	Total
Completed	32	8	40
Not completed	12	18	30
Total	44	26	70

Question 9

Interpolation

A data set uses x-values from 0 to 50. Predicting at x=35 is what type of prediction?

Question 10

Model validity

A linear model for puppy weight uses data from ages 1 to 12 months. Which prediction is most questionable?

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