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X y xy x2 y2 6 9 54 36 81 2 11 22 4 121 10 5 50 100 25 4 8 32 16 64 8 7 □ 64 49 Total = 30 Total = 40 Total = □ Total = □ Total = □ bxy = □□ byx = □□ ∴ Regression equation of x on y is □ ∴ Regressi

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Question

x y xy x2 y2
6 9 54 36 81
2 11 22 4 121
10 5 50 100 25
4 8 32 16 64
8 7 `square` 64 49
Total = 30 Total = 40 Total = `square` Total = 220 Total = `square`

bxy = `square/square`

byx = `square/square`

∴ Regression equation of x on y is `square`

∴ Regression equation of y on x is `square`

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Solution

x y xy x2 y2
6 9 54 36 81
2 11 22 4 121
10 5 50 100 25
4 8 32 16 64
8 7 56 64 49
Total = 30 Total = 40 Total = 214 Total = 220 Total = 340

From the table, we have

n = 5, ∑x = 30, ∑y = 40, ∑xy = 214, ∑x2 = 220, ∑y2 = 340

`barx = (sumx_"i")/"n" = 30/5` = 6

`bary = (sumy_"i")/"n" = 40/5` = 8

bxy = `(sumxy - "n" bar(x) bar(y))/(sumy^2 - "n" bary^2)`

= `(214 - 5 xx 6 xx 8)/(340 - 5(8)^2`

= `(214 - 240)/(340 - 320)`

= `(-26)/20`

bxy = `(-13)/10`

byx = `(sumxy - "n" bar(x) bar(y))/(sumx^2 - "n" barx^2)`

= `(214 - 5 xx 6 xx 8)/(220 - 5(6)^2`

= `(214 - 240)/(220 - 180)`

= `(-26)/40`

byx = `(-13)/20`

∴ Regression equation of x on y is x = – 1.3y + 16.4

∴ Regression equation of y on x is y = – 0.65x + 11.9

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Properties of Regression Coefficients
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Chapter 2.3: Linear Regression - Q.5

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x y `x - barx` `y - bary` `(x - barx)(y - bary)` `(x - barx)^2` `(y - bary)^2`
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Mean of x = `barx = square`

Mean of y = `bary = square`

bxy = `square/square`

byx = `square/square`

Regression equation of x on y is `(x - barx) = "b"_(xy)  (y - bary)`

∴ Regression equation x on y is `square`

Regression equation of y on x is `(y - bary) = "b"_(yx)  (x - barx)`

∴ Regression equation of y on x is `square`


Mean of x = 53

Mean of y = 28

Regression coefficient of y on x = – 1.2

Regression coefficient of x on y = – 0.3

a. r = `square`

b. When x = 50,

`y - square = square (50 - square)`

∴ y = `square`

c. When y = 25,

`x - square = square (25 - square)`

∴ x = `square`


The following results were obtained from records of age (x) and systolic blood pressure (y) of a group of 10 women.

  x y
Mean 53 142
Variance 130 165

`sum(x_i - barx)(y_i - bary)` = 1170


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