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The regression equation of x on y is 40x – 18y = 214 ......(i) The regression equation of y on x is 8x – 10y + 66 = 0 ......(ii) Solving equations (i) and (ii), x¯=□ y¯=□ ∴ byx = □□ ∴ bxy = □□ ∴ r =

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प्रश्न

The regression equation of x on y is 40x – 18y = 214  ......(i)

The regression equation of y on x is 8x – 10y + 66 = 0  ......(ii)

Solving equations (i) and (ii),

`barx = square`

`bary = square`

∴ byx = `square/square`

∴ bxy = `square/square`

∴ r = `square`

Given variance of x = 9

∴ byx = `square/square`

∴ `sigma_y = square`

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उत्तर

The regression equation of x on y is 40x – 18y = 214  ......(i)

The regression equation of y on x is 8x – 10y + 66 = 0  ......(ii)

Solving equations (i) and (ii),

By 5 × (ii) – (i), we get

40x – 50y = – 330

40x – 18y = 214
–        +          –      
       – 32y  = – 544

∴ y = `544/32` = 17

Substituting y = 17 in (i), we get

8x – 10 × 17 = – 66

∴ 8x – 170 = – 66

∴ 8x = – 66 + 170

∴ 8x = 104

∴ x = `104/8` = 13

`barx = 13

`bary` = 17

8x – 10y + 66 = 0 is regression equation of y on x.

⇒ 10y = 8x + 66

⇒ y = `4/5 x + 6.6

⇒ byx = `4/5`

40x – 18y = 214 is regression equation of x on y.

⇒ 40x = 18y + 214

⇒ x = `9/20 y + 5.35`

∴ bxy = `9/20`

r = `+-  sqrt("b"_(xy) "b"_(yx))`

= `+ sqrt((9/20 xx 4/5))`

= `+ sqrt(9/25)`

= `+ 3/5`

= 0.6

Given variance of x = 9 ⇒ σx2 = 9 ⇒ σx = 3

∴ byx = `("r"sigma_y)/sigma_x`

∴ `4/5 = (0.6 xx sigma_y)/3`

∴  σy = `(4 xx 3)/(5 xx 0.6)`

∴  σy4 

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अध्याय 2.3: Linear Regression - Q.5

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