13. A new strong painkiller is tested on eight arthritis sufferers. Each one is given a different dose of the drug (in mg), and the duration (number of hours) that the drug is effective is measured. The data show that the larger the dosage, the longer the duration that the drug is effective. A data summary is given below. We want to predict the duration (number of hours) the drug is effective based on dosage. What is the least-squares regression line? mean standard deviation Dosage 0.625 0.4301 Hours (Duration) 4.875 2.3566 r2 = 0.6064 A. predicted hours 3.59 + 4.03*dosage B. predicted hours = 2.21 + 4.27*dosage C. predicted hours = 0.57 + 4.11*dosage D. predicted hours = 0.24 + 4.89*dosage

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13. A new strong painkiller is tested on eight arthritis sufferers. Each one is given a different dose of the drug (in
mg), and the duration (number of hours) that the drug is effective is measured. The data show that the larger the
dosage, the longer the duration that the drug is effective. A data summary is given below. We want to predict the
duration (number of hours) the drug is effective based on dosage. What is the least-squares regression line?
mean
standard
deviation
Dosage
0.625
0.4301
Hours (Duration)
4.875
2.3566
r2 = 0.6064
A. predicted hours = 3.59 + 4.03*dosage
B. predicted hours 2.21 +4.27*dosage
C. predicted hours = 0.57 + 4.11*dosage
D. predicted hours = 0.24 + 4.89*dosage
What is the Brd
AWeighs
quartile of weigh s in this popul ion?
B. 98.71
15. low is a sc terplo with three pai of obse ations (hke data
line) 5
The leas squares regres ion line he red
tal sum of squared esidua
Transcribed Image Text:13. A new strong painkiller is tested on eight arthritis sufferers. Each one is given a different dose of the drug (in mg), and the duration (number of hours) that the drug is effective is measured. The data show that the larger the dosage, the longer the duration that the drug is effective. A data summary is given below. We want to predict the duration (number of hours) the drug is effective based on dosage. What is the least-squares regression line? mean standard deviation Dosage 0.625 0.4301 Hours (Duration) 4.875 2.3566 r2 = 0.6064 A. predicted hours = 3.59 + 4.03*dosage B. predicted hours 2.21 +4.27*dosage C. predicted hours = 0.57 + 4.11*dosage D. predicted hours = 0.24 + 4.89*dosage What is the Brd AWeighs quartile of weigh s in this popul ion? B. 98.71 15. low is a sc terplo with three pai of obse ations (hke data line) 5 The leas squares regres ion line he red tal sum of squared esidua
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