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The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find x¯,y¯, r. - Mathematics and Statistics

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प्रश्न

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

योग
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उत्तर

Given, the two regression equations are

5x − 6y + 90 = 0

i.e., 5x − 6y = −90    ...(i)

and 15x − 8y − 130 = 0

i.e., 15x − 8y = 130   ...(ii)

By (i) × 3 – (ii), we get

15x − 18y = −270

15x − 8y = 130
−    +        −     
    − 10y = −400

∴ y = 40

Substituting y = 40 in (i), we get

5x − 6(40) = −90

∴ 5x − 240 = −90

∴ 5x = −90 + 240

∴ 5x = 150

∴ x = 30

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

∴ `bar x` = 30 and `bar y` = 40

Now, let 5x – 6y + 90 = 0 be the regression equation of Y on X.

∴ The equation becomes 6Y = 5X + 90

i.e., Y = `5/6 X + 90/6`

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

∴ `b_(YX) = 5/6`

Now, other equation 15x – 8y – 130 = 0 be the regression equation of X on Y.

∴ The equation becomes 15X = 8Y + 130

i.e., X = `8/15 Y + 130/15`

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

∴ `b_(XY) = 8/15`

∴ r = `+-sqrt(b_(XY) * b_(YX))`

= `+- sqrt(8/15 * 5/6)`

= `+- sqrt(4/9)`

= `+- 2/3`

Since bYX and bXY both are positive, r is positive.

∴ r = `2/3`

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Properties of Regression Coefficients
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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 10 | पृष्ठ ५०

संबंधित प्रश्न

From the data of 7 pairs of observations on X and Y, following results are obtained.

∑(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

  1. The line of regression of Y on X.
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  3. The correlation coefficient between X and Y.

You are given the following information about advertising expenditure and sales.

  Advertisement expenditure
(₹ in lakh) (X)
Sales (₹ in lakh) (Y)
Arithmetic Mean 10 90
Standard Mean 3 12

Correlation coefficient between X and Y is 0.8

  1. Obtain the two regression equations.
  2. What is the likely sales when the advertising budget is ₹ 15 lakh?
  3. What should be the advertising budget if the company wants to attain sales target of ₹ 120 lakh?

Two samples from bivariate populations have 15 observations each. The sample means of X and Y are 25 and 18 respectively. The corresponding sum of squares of deviations from respective means is 136 and 150. The sum of the product of deviations from respective means is 123. Obtain the equation of the line of regression of X on Y.


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

  Sales Adv. Exp.
Mean 40 6
S.D. 10 1.5

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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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Choose the correct alternative:

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


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State whether the following statement is True or False:

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The value of product moment correlation coefficient between x and x is ______


The geometric mean of negative regression coefficients is ______


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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

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Obtain the two regression lines:

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(Y)
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  X Y
Mean 13 17
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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
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5 13 2 4 8 1 16
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byx = `square/square`

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∴ Regression equation of y on x is `square`


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∴ r = `square`


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  1. byx
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