The two regression lines are 6x 7x 12 = 0 and 9x 5y 15 0 ratio of the variances of x and y is

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this is mean by Y this is also me and my wife now we have to find what we have to find the ratio of Vice City to mean of factories that means we were upon Ek Bar then we can simply write this as Viber ratio ratio Viber upon Ek Bar that is equal to what is that is equal to 5 and what is that is equal to 3 and this is a required and Y 12 point Ek Bar equals to 5 by 3 now matching the option bye-bye Shri now let's Mein option this is 5 by 3 that means taken option is the correct option this is 5 by 3 option that is the answer is the right answer thank you

For the two regression equations 4y = 9x + 15 and 25x = 6y + 7 find correlation coefficient r, `barx, bary`

Solution

Given equations of regression lines are

4y = 9x + 15 and 25x = 6y + 7

y = `9/4x + 15/4` and y = `25/6x - 7/6`

`9/4x + 15/4 and y = 25/6x - 7/6` 

`|9/4| < |25/6|`

bxy = `9/4. 1/(b_xy) = 25/6`

bxy = `9/4. b_xy = 6/25`

r = `sqrt(b_xy xx b_yx)`

= `sqrt(6/25 xx 9/4)`

= `sqrt90.54)`

r = ± 0.7348

r = 0.7348     ............(bxy, byx > 0)

Solving equations of regressions lines

`barx = 118/46 . bary = 438/46`

Notes

Given equation of regression lines are 
4y = 9x + 15 and 25x = 6y + 7
y = `9/4x + 15/4` and y = `25/6x -7/6` 
`9/4x + 15/4` 

Concept: Regression Coefficient of X on Y and Y on X

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We assume that 2x + 3y - 6 = 0 to be the line of regression of y on x. 

2x + 3y - 6 = 0

⇒ `x = - 3/2y + 3`

⇒ `"bxy" = - 3/2`

5x + 7y - 12 = 0 to be the line of regression of x on y.

5x + 7y - 12 = 0

⇒ `y = - 5/7x + 12/7`

⇒  `"byx" = - 5/7`

Now,

r = `sqrt("bxy.byx") = sqrt(15/14)`

byx = `(rσ_y)/(σ_x) = - 5/7, "bxy" = (rσ_x)/(σ_y) = - 3/2`

⇒ `(σ_x^2)/(σ_y^2) =  (3/2)/(5/7)`

⇒ `(σ_x^2)/(σ_y^2) = 21/10`

⇒ `(σ_x)/(σ_y) = sqrt(21/10)`.

For the variables x and y, the two regression lines are 6x + y = 30 and 3x + 2y = 25. What are the values of x̅, y̅ and r respectively?

This question was previously asked in

NDA (Held On: 17 Nov 2019) Maths Previous Year paper

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  1. \(\frac{{20}}{3},\frac{{35}}{9},\; - 0.5\)
  2. \(\frac{{20}}{3},\frac{{35}}{9},\;0.5\)
  3. \(\frac{{35}}{9},\frac{{20}}{3},\; - 0.5\)
  4. \(\frac{{35}}{9},\frac{{20}}{3},\;0.5\)

Answer (Detailed Solution Below)

Option 3 : \(\frac{{35}}{9},\frac{{20}}{3},\; - 0.5\)

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Electric charges and coulomb's law (Basic)

10 Questions 10 Marks 10 Mins

Concept:

The line of regression of y on x is given by: \(y - \;\bar y = {b_{yx}}\;\left( {x - \;\bar x} \right)\) where byx is called the regression coefficient of y on x.

Similarly, the line of regression of x on y is given by: \(x - \;\bar x = {b_{xy}}\;\left( {y - \bar y} \right)\) wherebxy is called the regression coefficient of x on y.

The correlation coefficient r2 = byx × bxy

The two lines of regression intersect each other at \(\left( {\bar x\;,\;\bar y} \right)\)

Calculation:

Given: Two regression lines are 6x + y = 30 and 3x + 2y = 25.

As we know that, the two lines of regression intersect each other at \(\left( {\bar x\;,\;\bar y} \right)\)

By solving these two equations: 6x + y = 30 and 3x + 2y = 25

We get \(\left( {\bar x\;,\;\bar y} \right) = \left( {\frac{{35}}{9},\frac{{20}}{3}} \right)\)

We can write 6x + y = 30 as line of regression of x on y: \(x - \frac{{35}}{9} = \; - \frac{1}{6} \times \left( {y - \frac{{20}}{3}} \right)\)   ------(1)

By comparing equation (1), with line of regression of x on y which is given by: \(x - \;\bar x = {b_{xy}}\;\left( {y - \bar y} \right)\) we get \({b_{xy}} = \; - \frac{1}{6}\) 

Similarly, we can write 3x + 2y = 25 as line of regression of y on x: \(y - \frac{{20}}{3} = \; - \frac{3}{2}\;\left( {y - \frac{{35}}{9}} \right)\)    ------(2)

By comparing equation (2), with line of regression of x on y which is given by \(\;y - \;\bar y = {b_{yx}}\;\left( {x - \;\bar x} \right)\): we get \({b_{yx}} = \; - \frac{3}{2}\)

As we know that, r2 = byx × bxy

\( \Rightarrow {r^2} = \; - \frac{1}{6} \times \; - \frac{3}{2} = \frac{1}{4}\)

\( \Rightarrow r = \; \pm \frac{1}{2} = \; \pm 0.5\)

As we know that, sign of \(r,\;{b_{xy}}\;and\;{b_{yx}}\;is\;always\;same\)

⇒ r = - 0.5

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