A regression model examining the amount of distance a long distance runner runs (in miles) to predict the amount of fluid the runner drinks (ounces) has a slope of 4.6. Which interpretation is appropriate?
A) Each mile adds 4.6 more ounces.
B) We predict 4.6 miles for every ounce that is drunk.
C) We predict for every mile run, the runner drinks 4.6 more ounces.
D) The correlation is needed to interpret this value.
E) A runner drinks a minimum of 4.6 oz.

Question

Quizplus · Accepted Answer

The slope in a regression model represents the change in the dependent variable (fluid intake in ounces) for each unit increase in the independent variable (distance run in miles). Therefore, a slope of 4.6 would mean that for every additional mile run by the long distance runner, they consume an additional 4.6 ounces of fluid. Choice A and B are incorrect interpretations of the slope. Choice D is not applicable as the question already provides the slope value. Choice E is irrelevant to the interpretation of the slope.

A Regression Model Examining the Amount of Distance a Long