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महाराष्ट्र राज्य शिक्षण मंडळएचएससी वाणिज्य (इंग्रजी माध्यम) इयत्ता १२ वी

If the two regression lines for a bivariate data are 2x = y + 15 (x on y) and 4y = 3x + 25 (y on x), find x¯, y¯, bYX bXY r [Given 0.375 = 0.61]

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प्रश्न

If the two regression lines for a bivariate data are 2x = y + 15 (x on y) and 4y = 3x + 25 (y on x), find

  1. `bar x`,
  2. `bar y`,
  3. bYX
  4. bXY
  5. r [Given `sqrt0.375` = 0.61]
बेरीज
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उत्तर

Given,

regression equation of X on Y is 2x = y + 15,

i.e., 2x - y = 15           …(i)

regression equation of Y on X is 4y = 3x + 25,

i.e., - 3x + 4y = 25       …(ii)

By (i) ×  4 + (ii) we get

    8x - 4y = 60
+ - 3x + 4y = 25 
   5x    = 85

∴ x = 17

Substituting the value of x = 17 in (i), we get

2(17) – y = 15

∴ 34  y = 15

∴ y = 34 – 15 = 19

Since the point of intersection of two regression lines is `(bar x, bar y)`,

(i) `bar x` = 17

(ii) `bar y` = 19

(iii) Regression equation of Y on X is 4y = 3x + 25

i.e., 4Y = 3X + 25

i.e., Y = `3/4 "X" + 25/4`

Comparing it with Y = bYX X + a, we get

`"b"_"YX" = 3/4`

(iv) Regression equation of X on Y is 2x = y + 15

i.e., 2X = Y + 15

i.e., X = `"Y"/2 + 15/2`

Comparing it with X = bXY Y + a' we get,

`"b"_"XY" = 1/2`

(v) r = `+-sqrt("b"_"XY" * "b"_"YX")`

`= +- sqrt((1/2) * (3/4)) = +- sqrt0.375 = +- 0.61`

Since bYX and bXY both are positive,

r is also positive.

∴ r = 0.61

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Properties of Regression Coefficients
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पाठ 3: Linear Regression - Exercise 3.3 [पृष्ठ ५०]

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x y `x - barx` `y - bary` `(x - barx)(y - bary)` `(x - barx)^2` `(y - bary)^2`
1 5 – 2 – 4 8 4 16
2 7 – 1 – 2 `square` 1 4
3 9 0 0 0 0 0
4 11 1 2 2 4 4
5 13 2 4 8 1 16
Total = 15 Total = 45 Total = 0 Total = 0 Total = `square` Total = 10 Total = 40

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 = 25

Mean of y = 20

`sigma_x` = 4

`sigma_y` = 3

r = 0.5

byx = `square`

bxy = `square`

when x = 10,

`y - square = square (10 - square)`

∴ y = `square`


The regression equation of y on x is 2x – 5y + 60 = 0

Mean of x = 18

`2 square -  5 bary + 60` = 0

∴ `bary = square`

`sigma_x : sigma_y` = 3 : 2

∴ byx = `square/square`

∴ byx = `square/square`

∴ r = `square`


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