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Effectus [21]
3 years ago
9

A pediatrician wishes to study how the average weight Y (in kilograms) of children changes during the first year of life. He plo

ts these averages versus the age X (in months) and decides to fit a least-squares regression line to the data with X as the explanatory variable and Y as the response variable. He computes the following quantities: r = correlation between X and Y= 0.84 x = mean of the values of X = 5.69 y = mean of the values of Y = 6.26 S_x = standard deviation of the values of X = 3.23 s_y = standard deviation of the values of Y = 2.04 The slope of the least-squares line is: A) 0.53.B) 0.64. C) 0.84. D) 2.04.
Mathematics
1 answer:
leonid [27]3 years ago
3 0

Answer:

Answer is option a ) 0.53

Step-by-step explanation:

slope = r*\frac{s_y}{s_x}

Given that a pediatrician wishes to study how the average weight Y (in kilograms) of children changes during the first year of life. He plots these averages versus the age X (in months) and decides to fit a least-squares regression line to the data with X as the explanatory variable and Y as the response variable.

He finds  the following quantities:

r = correlation between X and Y= 0.84

x = mean of the values of X = 5.69

y = mean of the values of Y = 6.26

S_x = standard deviation of the values of X = 3.23

s_y = standard deviation of the values of Y = 2.04

Using the formula for slope given above substitute to get

slope = 0.84*\frac{2.04}{3.23} \\=0.5305

round off to 0.53

Answer is option a ) 0.53

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