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yKpoI14uk [10]
3 years ago
14

Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight

can be explained by the relationship with height
Mathematics
1 answer:
Schach [20]3 years ago
7 0

Answer:

We are given the correlation between height and weight for adults is 0.40.

We need to find the proportion of the variability in weight that can be explained by the relationship with height.

We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent  variable. There the coefficient of determination is given below:

R^{2}=r^{2}=0.40^{2}=0.16

Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height



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Kindly check explanation

Step-by-step explanation:

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. Let X and Y be random variables of possible percent returns (0%, 10%,
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Similarly, the marginal distribution of <em>Y</em> is

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(c) The mean of <em>X</em> is

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E[<em>Y</em>] = 7.5

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… = 31.25

and similarly,

V[<em>Y</em>] = 31.25

(each sum is taken with <em>x</em> and <em>y</em> from {0, 5, 10, 15})

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