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If σ = 56 σ = 56, σX_1^2 = 478, σY_1^2 = 476, σ = 469 and N = 7, Find (A) the Regression Equation of Y on X. (B) Y, If X = 12.

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Question

If Σx1 = 56 Σy1 = 56, Σ`x_1^2` = 478,
Σ`y_1^2` = 476, Σx1y1 = 469 and n = 7, Find
(a) the regression equation of y on x.
(b) y, if x = 12.

Sum
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Solution

Σx1 = 56  Σy1 = 56,  Σ`x_1^2` = 478,
Σ`y_1^2` = 476,  Σx1y1 = 469 and n = 7,

`barx = Σ_(x1)/n = 56/7 = 8 and bary = Σ_(y1)/n = 56/7 = 8`

Now regression coefficient of y on x is,

`b_(yx) = (Σx_1y_1 -n barx bary)/(Σ_1^2 - nx^-2)`

           = `(469 - (7 xx 8 xx 8))/(476 - (7 xx (8)^2)`

           = `(469 - 448)/(476 - 448)`

           = `21/28`

           = `3/4`

           = 0.75

(a) Equation of regression of line of income on year service is 

`y - bary = b_(yx) (x - barx)`
y - 8 = 0.75 ( x - 8)
y = 2 + 0.75x

(b) When x = 12, y = ?
y =2 + 0.75 x 12
y = 11

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