Questions: A study of adults aged 20 to 40 investigated the relationship between the average number of hours of exercise per week x and average number of hours of sleep per day y. The regression line was found to be y=8.5-0.2x. Which of the following is a true statement? a) For every additional hour of weekly exercise, there is a corresponding 0.2 decrease in daily hours of sleep. b) We can correctly predict that a 60-year-old adult who exercises 6 hours per week sleeps on average 7.3 hours per day. c) For every additional hour of weekly exercise, there is a corresponding 8.5 increase in daily hours of sleep. d) Increasing amount of weekly exercise causes a decrease in daily hours of sleep.

A study of adults aged 20 to 40 investigated the relationship between the average number of hours of exercise per week x and average number of hours of sleep per day y. The regression line was found to be y=8.5-0.2x. Which of the following is a true statement?
a) For every additional hour of weekly exercise, there is a corresponding 0.2 decrease in daily hours of sleep.
b) We can correctly predict that a 60-year-old adult who exercises 6 hours per week sleeps on average 7.3 hours per day.
c) For every additional hour of weekly exercise, there is a corresponding 8.5 increase in daily hours of sleep.
d) Increasing amount of weekly exercise causes a decrease in daily hours of sleep.
Transcript text: A study of adults aged 20 to 40 investigated the relationship between the average number of hours of exercise per week $x$ and average number of hours of sleep per day $y$. The regression line was found to be $y=8.5-0.2 x$. Which of the following is a true statement? a) For every additional hour of weekly exercise, there is a corresponding 0.2 decrease in daily hours of sleep. b) We can correctly predict that a 60-year-old adult who exercises 6 hours per week sleeps on average 7.3 hours per day. c) For every additional hour of weekly exercise, there is a corresponding 8.5 increase in daily hours of sleep. d) Increasing amount of weekly exercise causes a decrease in daily hours of sleep.
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Solution

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To determine the true statement, we need to interpret the given regression line equation \( y = 8.5 - 0.2x \). The equation suggests that for each additional hour of exercise per week (\(x\)), the average number of hours of sleep per day (\(y\)) decreases by 0.2 hours. This is because the coefficient of \(x\) is -0.2, indicating a negative relationship between exercise and sleep. Therefore, statement (a) is true. Statement (b) is incorrect because the regression model is based on adults aged 20 to 40, not 60-year-olds. Statement (c) is incorrect because it misinterprets the regression coefficient. Statement (d) is misleading because correlation does not imply causation.

Schritt 1: Interpretation der Regressionsgleichung

Die gegebene Regressionsgleichung lautet \( y = 8.5 - 0.2x \). Diese Gleichung zeigt, dass für jede zusätzliche Stunde wöchentlicher Bewegung (\(x\)) die durchschnittliche Anzahl der Schlafstunden pro Tag (\(y\)) um \(0.2\) Stunden abnimmt. Dies wird durch den negativen Koeffizienten \(-0.2\) angezeigt.

Schritt 2: Überprüfung der Aussage (a)

Um die Aussage (a) zu überprüfen, berechnen wir die Änderung der Schlafstunden, wenn \(x\) um 1 erhöht wird. Die Änderung ist \(y(1) - y(0) = (8.5 - 0.2 \times 1) - (8.5 - 0.2 \times 0) = -0.2\). Aufgrund von Rundungsfehlern in der Berechnung kann das Ergebnis leicht abweichen, aber die theoretische Änderung beträgt \(-0.2\).

Schritt 3: Schlussfolgerung

Die Aussage (a) ist korrekt, da sie die richtige Interpretation der Regressionsgleichung widerspiegelt. Die anderen Aussagen sind entweder falsch oder irreführend.

Endgültige Antwort

Die Antwort ist \(\boxed{\text{a}}\).

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