Question 1
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?
◦ The correlation is needed to interpret this value.
◦ We predict for every mile run, the runner drinks 4.6 more ounces.
◦ A runner drinks a minimum of 4.6 oz.
◦ Each mile adds 4.6 more ounces.
◦ We predict 4.6 miles for every ounce that is drunk.
Question 2
Computer output in the scenario described in problem #8 reports that
s = 2.3. Which is the correct interpretation of this value?
◦ The slope of the regression line is 2.3 lights per dollar.
◦ The initial cost, even with no lights is $2.30.
◦ The slope of the regression line is $2.30 per light.
◦ The average prediction error of the regression line is $2.30.
◦ The correlation is 2.3.
Urine output.
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