SAT Math · Two-variable data: models and scatterplots · medium

Two stores each fit a linear model relating advertising spending to monthly sales. Store A's model has a slope of 3.5, and Store B's model…

Two stores each fit a linear model relating advertising spending to monthly sales. Store A's model has a slope of 3.5, and Store B's model has a slope of 2.1. What does this comparison suggest?

Answer and explanation

Answer: D: Each additional dollar of advertising is associated with a larger increase in sales for Store A than for Store B.

The slope of a linear model is the predicted change in the output for each one-unit increase in the input. Store A's slope of 3.5 means each additional advertising dollar is associated with $3.50 more in sales, compared with $2.10 for Store B. So an extra dollar is associated with a larger increase in sales at Store A, choice D. Choice A confuses slope with total sales, which depends on the intercepts. Choice B reverses the comparison. Choice C ignores the difference in slopes. Note that the wording "associated with" is appropriate because the model shows correlation, not proof of cause.

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