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The heights (in cm.) of a group of fathers and sons are given below: Heights of fathers: 158 166 163 165 167 170 167 172 177 181 Heights of Sons: 163 158 167 170 160 180 170 175 172 175

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प्रश्न

The heights (in cm.) of a group of fathers and sons are given below:

Heights of fathers: 158 166 163 165 167 170 167 172 177 181
Heights of Sons: 163 158 167 170 160 180 170 175 172 175

Find the lines of regression and estimate the height of the son when the height of the father is 164 cm.

बेरीज
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उत्तर

Heights of fathers
(X)
Heights of Sons
(Y)
dx = X − 168 dy = Y − 169 dx2 dy2 dxdy
158 163 − 10 − 6 100 36 − 60
166 158 − 2 − 11 4 121 22
163 167 − 5 − 2 25 4 10
165 170 − 3 1 9 1 − 3
167 160 − 1 − 9 1 81 9
170 180 2 11 4 121 22
167 170 − 1 1 1 1 −1
172 175 4 6 16 36 24
177 172 9 3 81 9 27
181 175 13 6 169 36 78
1686 1690 6 0 410 446 248

N = 10, ∑X = 1686, ∑Y = 1690, ∑dx2 = 410, ∑y2 = 446, ∑dxdy = 248, `bar"X" = 1686/10` = 168.6, `bar"Y" = 1690/10` = 169

bxy = `("N"sum"dxdy" - (sum"dx")(sum"dy"))/("N"sum"dy"^2 - (sum"dy")^2)`

= `(10(248) - 6(0))/((10)(446) - 0^2)`

= `2480/4460`

= 0.556

Regression equation of X on Y

`"X" - bar"X" = "b"_"xy"("Y" - bar"Y")`

X – 168.6 = 0.556 (Y – 169)

X – 168.6 = 0.556Y – 93.964

 X = 0.556Y – 93.964 + 168.6

X = 0.556Y + 76.636

X = 0.556Y + 74.64

byx = `("N"sum"dxdy" - (sum"dx")(sum"dy"))/("N"sum"dx"^2 - (sum"dx")^2)`

= `(10(248) - 0)/(10(410) - 6^2)`

= `2480/(4100 - 36)`

= `2480/4064`

= 0.610

Regression equation of Y on X

`"Y" - bar"Y" = "b"_"yx"("X" - bar"X")`

Y − 169 = 0.610 (X − 168.6)

Y – 169 = 0.610X – 102.846

Y = 0.610X – 102.846 + 169

Y = 0.610X + 66.154 ………(1)

To get son’s height (Y) when the father height is X = 164 cm.

Put X = 164 cm in equation (1) we get

Son’s height = 0.610 × 164 + 66.154

= 100.04 + 66.154 

= 166.19 cm

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Regression Analysis
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 9: Correlation and Regression Analysis - Exercise 9.2 [पृष्ठ २२६]

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सामाचीर कलवी Business Mathematics and Statistics [English] Class 11 TN Board
पाठ 9 Correlation and Regression Analysis
Exercise 9.2 | Q 2 | पृष्ठ २२६

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