The regression equation are 16x - 9y+94 = 0 and x-y + 5 = 0 If the variance of y is 16, then the
standard deviation of x is
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9 is the correct answer
Step-by-step explanation:
we may write y =x − 5 and 16x = 9y+ 94 where x and y are means of variables x and y.
16x= 9(x- 5 )+ 94= 9x + (94 -45)
or 7x= 49 or x = 7
Then y =x - 5 = 7-5 =2
So the means are x = 7 and y = 2.
Let y = x – 5 be the regression line of y on x and
16x = 9y + 94 be the regression line of x on y.
If the variance of y = 16,
Byx = 1, bxy = 9/16
r² = Byx + bxy
r = √ 1 X 9/16 = ¾
bxy = r σ x/σ y
16 = 6/4 σ x/4√ 16
σ x = 3
Cov (X,Y)/ σ x.σ y = r
Cov (X,Y) = ¾ x 3 x 4 = 9
thus, standard deviation of x is 9
hence, 9 is the correct answer
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