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Question
The following table shows the Mean, the Standard Deviation and the coefficient of correlation of two variables x and y.
| Series | x | y |
| Mean | 8 | 6 |
| Standard deviation | 12 | 4 |
| Coefficient of correlation | 0.6 | |
Calculate:
- the regression coefficient bxy and byx
- the probable value of y when x = 20
Sum
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Solution
Given `barx` = 8,
`bary` = 6
σx = 12,
σy = 4
and r = 0.6
a. bxy = `r σ_x/σ_y = 0.6 xx 12/4` = 1.8
and byx = `r σ_y/σ_x = 0.6 xx 4/12` = 0.2
b. Regression line of y on x is
`y - bary = b_(yx)(x - barx)`
`\implies` y – 6 = 0.2(x – 8)
`\implies` y = 0.2x – 1.6 + 6
`\implies` y = 0.2x + 4.4 ...(1)
When x = 20,
y = 0.2 × 20 + 4.4
= 4 + 4.4
= 8.4
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Regression Coefficient of X on Y and Y on X
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