Bivariate data and relationships (scatterplots, correlation) on the ACT Mathematics test covers how two quantitative variables move together, including scatterplots, the direction and strength of association, and simple linear models.
A student has to read a scatterplot or an equation of a fitted line, describe the association, and interpret the slope and intercept in context, including what each coefficient means for a change in the input and for the value when the input is zero.
Questions often present a linear model and ask which statement best interprets the slope and intercept, with choices that swap the two coefficients, reverse the variables, drop the units, or treat correlation as causation.
Sample questions
Pick an answer to see whether it is right — nothing is saved, and nothing needs an account.
Question 1Easier
A coach recorded the number of hours athletes practiced each week (x) and the number of push-ups they could complete (y). The line of best fit for the data is y=2.5x+8. What does the value 2.5 represent in this context?
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Answer: C — For each additional hour of practice per week, the number of push-ups an athlete can do increases by about 2.5.
In a line of best fit y=mx+b, the slope m gives the change in y per unit increase in x. Here x is practice hours and y is push-ups, so 2.5 means push-ups increase by about 2.5 for each additional hour of weekly practice.
Question 2Easier
A fitted model for a sensor’s response R, in units, at temperature t degrees Celsius is R=2.4t+18. Which of the following is the best interpretation of the slope and the intercept of this model?
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Answer: D — The response increases by 2.4 units per degree, and the predicted response at 0∘C is 18 units.
The coefficient of t is the predicted change in response for each 1∘C increase, so the slope is 2.4 response units per degree. The constant 18 is the model’s predicted response when t = 0∘C.
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