Answer:
Presently we have,
y = a + bx ------------------------->(1)
Σy = na + bΣx ------------------->(2)
Σxy = aΣx + bΣx^2 ------------>(3)
Now from condition no. (2)
813 = 10a + b*683
10a + 683 b = 813 -----------> (4)
From condition no. (3)
56089 = a 683 + b 47405
683a + 47405b = 56089 ________ (5)
Tackling conditions no. (4) and (5)
then we get
a = 30.6147 and b = 0.742
From condition no. (1)
y = 30.6147 + 0.742 x
substitute xo = 90 in above equation
y = 30.6147 + 0.742 * 90
yo = 97.3947
yo = 97.3947 at xo=90
We have a dataset with n = 10 pairs of observations (Li, Yi), and n I...
We have a dataset with n = 10 pairs of observations (li, yi), and x = 683, Yi = 813, i=1 n > z* = 47,405, < <iyi = 56,089, Ly} = 66, 731. i=1 i=1 What is an approximate 99% confidence interval for the slope of the line of best fit? We have a dataset with n = 10 pairs of observations (li, Yi), and { x: = 683, yi = 813, i=1 i=1 n r* = 47,405, xiyi...
We have a dataset with n = 10 pairs of observations (li, Yi), and n n Xi = 683, Σ Yi = = 813, i=1 n п n < x; = 47,405, Xiyi = 56,089, Xyz 66, 731. i=1 i=1 i=1 What is an approximate 99% confidence interval for the mean response at xo = 90?
We have a dataset with n = 10 pairs of observations (Li, Yi), and n X; = 683, Yi = 813, i=1 i=1 2* = 47, 405, XiYi = 56,089, Cy? = 66, 731. i=1 i=1 i=1 What is the coefficient of correlation for this data? We have a dataset with n = 10 pairs of observations (li, Yi), and di = 683, Yi = 813, n x* = 47,405, x:yi = 56,089, y = 66, 731. i=1 i=1 i=1...
We have a dataset with n = 10 pairs of observations (Li, Yi), and n n Σ Xi = 683, Yi = 813, i=1 i=1 n п n > x= 47,405, Xiyi = 56,089, yž = 66, 731. i=1 i=1 i=1 What is an approximate 99% prediction interval for the response yo at Xo = = 90?
We have a dataset with n = 10 pairs of observations (xi; yi),
and
Xn
i=1
xi = 683;
Xn
i=1
yi = 813;
Xn
i=1
x2i
= 47; 405;
Xn
i=1
xiyi = 56; 089;
Xn
i=1
y2
i = 66; 731:
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the line of best fit?
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Short Answer Question We have a dataset with n= 10 pairs of observations (li, Yi), and n Σ X; = 683, Yi = 813, i=1 i=1 n n { x = 47,405, Xiyi = 56,089, y = 66, 731. i=1 i=1 i=1 What is the line of best fit for this data?