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The following data give the height in inches (X) and the weight in lb. (Y) of a random sample of 10 students from a large group of students of age 17 years:

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प्रश्न

The following data give the height in inches (X) and the weight in lb. (Y) of a random sample of 10 students from a large group of students of age 17 years:

X 61 68 68 64 65 70 63 62 64 67
Y 112 123 130 115 110 125 100 113 116 125

Estimate weight of the student of a height 69 inches.

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उत्तर

Height
(X)
Weight
(Y)
dx = X − 65 dy = Y − 117 dx2 dy2 dxdy
61 112 − 4 − 5 16 25 20
68 123 3 6 9 36 18
68 130 3 13 9 169 39
64 115 − 1 − 2 1 4 2
65 110 0 − 7 0 49 0
70 125 5 8 25 64 40
63 100 − 2 − 17 4 289 34
62 113 − 3 − 4 9 16 12
64 116 − 1 − 1 1 1 1
67 125 2 8 4 64 16
652 1169 2 − 1 78 717 182

N = 10, ∑X = 652, ∑Y = 1169, ∑dx = 2, ∑dy = − 1, ∑dx2 = 78, ∑dy2 = 717, ∑dxdy = 182, `bar"X" = 652/10` = 65.2, `bar"Y" = 1169/10` = 116.9

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

= `(10(182) - (2)(-1))/(10(78) - (2)^2)`

= `1822/776`

= 2.3479

Regression equation of Y on X

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

Y – 117 = 2.3479 (X – 65.2)

Y – 117 = 2.3479X – (2.3479)(65.2)

Y = 2.3479X – 153.08308 + 117

Y = 2.3479 – 36.08308

When the height X = 69 inches

Weight, Y = 2.3479(69) – 36.08308

= 162.0051 – 36.08308

= 125.92202

= 125.92 lb

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Regression Analysis
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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 3 | पृष्ठ २२६

संबंधित प्रश्‍न

From the data given below:

Marks in Economics: 25 28 35 32 31 36 29 38 34 32
Marks in Statistics: 43 46 49 41 36 32 31 30 33 39

Find

  1. The two regression equations,
  2. The coefficient of correlation between marks in Economics and Statistics,
  3. The mostly likely marks in Statistics when the marks in Economics is 30.

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.


Obtain the two regression lines from the following data N = 20, ∑X = 80, ∑Y = 40, ∑X2 = 1680, ∑Y2 = 320 and ∑XY = 480.


Given the following data, what will be the possible yield when the rainfall is 29.

Details Rainfall Production
Mean 25`` 40 units per acre
Standard Deviation 3`` 6 units per acre

Coefficient of correlation between rainfall and production is 0.8.


You are given the following data:

Details X Y
Arithmetic Mean 36 85
Standard Deviation 11 8

If the Correlation coefficient between X and Y is 0.66, then find

  1. the two regression coefficients,
  2. the most likely value of Y when X = 10.

The regression coefficient of Y on X


If X and Y are two variates, there can be at most


The lines of regression intersect at the point


The term regression was introduced by


The following information is given.

Details X (in ₹) Y (in ₹)
Arithmetic Mean 6 8
Standard Deviation 5 `40/3`

Coefficient of correlation between X and Y is `8/15`. Find

  1. The regression Coefficient of Y on X
  2. The most likely value of Y when X = ₹ 100.

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