4.
In a study, the following equation for predicting a child’s metabolic rate (in 100 kcal/24h) (Y) given his/her weight (in kilograms) (X) is found: Y = 0.4X + 0.89. The RMS for the prediction is 1.144 (in 100 kcal/24h). What is the probability that a child that weighs 15 kilograms has metabolic rate exceeding 8?
Question 4 options:
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5.
Suppose a study predicting calories (Y) based on sugar content
(X) in breakfast cereals produced the following information.
Calculate the regression equation for this dataset:
R=.564
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6.
Suppose you want to predict the final exam score of a student given that their number of hours studying for this class is at 80th percentile. Assume both final exam scores and number of hours studying for this class are normally distributed. If the correlation coefficient is 0.85, what would you expect for their final exam score based on the regression effect?
Question 6 options:
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4)
probability that a child that weighs 15 kilograms has metabolic rate exceeding 8 =P(X>8)=P(Z>(8-0.4*15-0.89)/1.144)
=P(Z>0.97) =0.166
option D is correct
5)
x̅ = | 7.1 | ||
y̅ = | 107.2 | ||
sx= | 4.5 | ||
sy = | 19.6 | ||
r= | 0.564 | ||
slope b1=r*sy/sx= | 2.457 | ||
intercept bo=y̅ +r(sy/sx)*(x̅)= | 89.759 |
option D is correct
6)option B is correct
They will score below the 80th percentile for their final exam.
4. In a study, the following equation for predicting a child’s metabolic rate (in 100 kcal/24h)...
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