MA.912.DP.2.4 · Linear Relationships

Fitting a Linear Function to Bivariate Data: Sample Algebra 1 EOC Questions

A scatter plot with a linear trend gets a line of fit, and that line becomes a model. Students interpret its slope and y-intercept in the units of the data and use the model to predict a value the data did not measure.

How the Algebra 1 EOC tests this benchmark

Interpreting the slope or intercept is never asked on its own: the EOC pairs it with fitting the function or using the model to answer a question. Graphic response items ask students to draw the line of fit through a scatter plot; equation editor items ask for a prediction. Contexts are realistic, such as debt over time or study hours against test scores.

Skills students need

Draw a reasonable line of fit on a scatter plot
Interpret the slope of the model in context
Interpret the y-intercept in context
Use the model to predict a value

Try 6 real MA.912.DP.2.4 questions

These come straight from Algebro's Algebra 1 question bank, easiest first. Answer one, check it, then move to the next.

Question 1 of 6

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Question 1EasyGraphing

A gardener measures a seedling once a week. The scatter plot shows the data, and the line of fit is

y = 3x + 5

, where

x

is the number of weeks and

y

is the height in centimeters. Use the point tool to plot the point that the line of fit predicts for week

4

Showcase extra: the real practice and quiz players do not have this button.

Question 4MediumMatching

Three different data sets each have their own line of fit. In every model,

x = 4

. Match each line of fit to the value it predicts.

Pick one match in each row, then check.

	A. $3$	B. $19$	C. $2$
Miles vs delivery fee: $y = 4x + 3$
Hours vs battery percent: $y = -2x + 10$
Bags vs service charge: $y = 0.5x + 1$

Showcase extra: the real practice and quiz players do not have this button.

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