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From the two regression equations, find r, x¯andy¯. 4y = 9x + 15 and 25x = 4y + 17

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Question

From the two regression equations, find r, `bar x and bar y`. 4y = 9x + 15 and 25x = 4y + 17

Sum
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Solution

Given regression equations are

4y = 9x + 15

i.e., - 9x + 4y = 15    ....(i)

and 25x = 4y + 17

i.e., 25x - 4y = 17       ...(ii)

Adding equations (i) and (ii), we get

- 9x + 4y = 15
 25x - 4y = 17 
16x     = 32

∴ x = 2

Substituting x = 2 in (i), we get

- 9(2) + 4y = 15

∴ - 18 + 4y = 15

∴ 4y = 33

∴ y = 8.25

Since the point of intersection of two regression lines is `(bar x, bar y), bar x = 2 and bar y = 8.25`

Let 4y = 9x + 15 be the regression equation of Y on X.

∴ The equation becomes Y = `9/2 "X" + 15/4`

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

`"b"_"YX" = 9/4 = 2.25`

Now, the other equation, i.e., 25x = 4y + 17 is the regression equation of X on Y.

∴ The equation becomes X = `4/25 "Y" + 17/25`

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

`"b"_"XY" = 4/25 = 0.16`

r = `+-sqrt("b"_"XY" * "b"_"YX")`

`= +- sqrt (0.16 xx 2.25)`

`= +- sqrt0.36 = +- 0.6`

Since bYX and bXY are positive,

r is also positive.

∴ r = 0.6

∴ `bar x = 2 and bar y = 8.25` and r = 0.6 

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Properties of Regression Coefficients
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Chapter 3: Linear Regression - Exercise 3.3 [Page 49]

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