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Regression equations of two series are 2x − y − 15 = 0 and 3x − 4y + 25 = 0. Find x¯,y¯ and regression coefficients. Also find coefficients of correlation. [Given 0.375 = 0.61]

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प्रश्न

Regression equations of two series are 2x − y − 15 = 0 and 3x − 4y + 25 = 0. Find `bar x, bar y` and regression coefficients. Also find coefficients of correlation. [Given `sqrt0.375` = 0.61]

योग
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उत्तर

Given regression equation of two series are

2x − y – 15 = 0

i.e., 2x – y = 15     …(i)

and 3x − 4y + 25 = 0

i.e., 3x – 4y = –25   …(ii)

By (i) × – (ii), we get

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

∴ x = 17

Substituting x = 17 in in equation (i), we have

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)`,

`bar x = 17  and  bar y = 19`

Now,

Let 2x − y – 15 = 0 be the regression equation of X on Y.

∴ The equation becomes 2x = y + 15

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

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

∴ `b_XY = 1/2`

Now, other equation 3x − 4y + 25 = 0 be the regression equation of Y on X.

∴ The equation becomes 4y = 3x + 25

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

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

∴ `b_YX = 3/4`

∴ r = `+-sqrt(b_XY * b_YX)`

`= +- sqrt(1/2 * 3/4)`

= `+- sqrt0.375`

= `+- 0.61`

Since bYX and bXY both are positive,

r is positive.

∴ r = 0.61

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Properties of Regression Coefficients
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 3: Linear Regression - Exercise 3.3 [पृष्ठ ५०]

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बालभारती Mathematics and Statistics 2 (Commerce) [English] Standard 12 Maharashtra State Board
अध्याय 3 Linear Regression
Exercise 3.3 | Q 13 | पृष्ठ ५०

संबंधित प्रश्न

For bivariate data. `bar x = 53, bar y = 28, "b"_"YX" = - 1.2, "b"_"XY" = - 0.3` Find estimate of X for Y = 25.


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∑(xi - 70) = - 35,  ∑(yi - 60) = - 7,

∑(xi - 70)2 = 2989,    ∑(yi - 60)2 = 476, 

∑(xi - 70)(yi - 60) = 1064

[Given: `sqrt0.7884` = 0.8879]

Obtain

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  3. What should be the advertising budget if the company wants to attain sales target of ₹ 120 lakh?

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  X Y
Mean 13 17
S.D. 3 2

Correlation coefficient between x and y is 0.6. estimate x when y = 15 and estimate y when x = 10.


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

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  4. bXY
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The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find `bar x, bar y`, r.


If bYX = − 0.6 and bXY = − 0.216, then find correlation coefficient between X and Y. Comment on it.


Choose the correct alternative:

If byx < 0 and bxy < 0, then r is ______


Choose the correct alternative:

If r = 0.5, σx = 3, `σ_"y"^2` = 16, then byx = ______


State whether the following statement is True or False:

If byx = 1.5 and bxy = `1/3` then r = `1/2`, the given data is consistent


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Obtain the two regression lines:

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(₹ in lakhs)
DEMAND (y)
(₹ in lakhs)
Mean 10 90
Variance 9 144

Coefficient of correlation between x and y is 0.8.
What should be the advertising budget if the company wants to attain the sales target of ₹ 150 lakhs?


The equations of the two lines of regression are 2x + 3y − 6 = 0 and 5x + 7y − 12 = 0. Find the value of the correlation coefficient `("Given"  sqrt(0.933) = 0.9667)`


Given the following information about the production and demand of a commodity.

Obtain the two regression lines:

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(X)
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(Y)
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If n = 5, Σx = Σy = 20, Σx2 = Σy2 = 90 , Σxy = 76 Find Covariance (x,y) 


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`


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`


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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