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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 = □ b. When x = 50, y-□=□(50-□) ∴ y = □ c. When y = 25, x-□=□(25-□) ∴ x = □

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प्रश्न

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`

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योग
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उत्तर

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 = `+- sqrt("b"_(xy)*"b"_(yx))`

= `+- sqrt((-0.3)(-1.2))`

= `+-  0.6`

Since bYX and bXY both are – negative,

r is also negative.

∴ r = – 0.6

b.  When x = 50,

`(y - bary) = "b"_(yx)  (x- barx)`

∴ `(y - 28) = - 1.2 (50 - 53)`

∴ y = 28 – 60 + 63.6

∴ y = 31.6

c. When y = 25,

`(x - 53) = - 0.3 (25 - 28)`

∴ X = 53 – 7.5 + 8.4

∴ X = 53.9

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Properties of Regression Coefficients
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 2.3: Linear Regression - Q.5

संबंधित प्रश्न

For bivariate data. `bar x = 53, bar y = 28, "b"_"YX" = - 1.2, "b"_"XY" = - 0.3` Find estimate of Y for X = 50.


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The following data about the sales and advertisement expenditure of a firms is given below (in ₹ Crores)

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Mean of x = 25

Mean of y = 20

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bxy = `square`

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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 `square` 64 49
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byx = `square/square`

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∴ Regression equation of y on x is `square`


|bxy + byz| ≥ ______.


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