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The two regression lines were found to be 4X – 5Y + 33 = 0 and 20X – 9Y – 107 = 0. Find the mean values and coefficient of correlation between X and Y.

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प्रश्न

The two regression lines were found to be 4X – 5Y + 33 = 0 and 20X – 9Y – 107 = 0. Find the mean values and coefficient of correlation between X and Y.

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उत्तर

To get mean values we must solve the given lines.

4X – 5Y = – 33 ……(1)

20X – 9Y = 107 …….(2)

Equation (1) × 5

20X – 25Y = – 165

20X – 9Y = 107

Subtracting (1) and (2),

– 16Y = – 272

Y = `272/16` = 17

i.e., `bar"Y"` = 17

Using Y = 17 in (1) we get,

4X – 85 = – 33

4X = 85 – 33

4X = 52

X = 13

i.e., `bar"X"` = 13

Mean values are `bar"X"` = 13, `bar"Y"` = 17,

Let regression line of Y on X be

4X – 5Y + 33 = 0

5Y = 4X + 33

Y = `1/5` (4X + 33)

Y = `4/5"X" + 33/5`

Y = 0.8X + 6.6

∴ byx = 0.8

Let regression line of X on Y be

20X – 9Y – 107 = 0

20X = 9Y + 107

X = `1/20` (9Y + 107)

X = `9/20"Y" + 107/20`

X = 0.45Y + 5.35

∴ bxy = 0.45

Coefficient of correlation between X and Y is

r = `± sqrt("b"_"yx" xx "b"_"xy")`

r = `± (0.8 xx 0.45)`

= ± 0.6

= 0.6

Both byx and bxy is positive take positive sign.

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Regression Analysis
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पाठ 9: Correlation and Regression Analysis - Exercise 9.2 [पृष्ठ २२७]

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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 11 | पृष्ठ २२७

संबंधित 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.


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.


The following data relate to advertisement expenditure (in lakh of rupees) and their corresponding sales (in crores of rupees)

Advertisement expenditure 40 50 38 60 65 50 35
Sales 38 60 55 70 60 48 30

Estimate the sales corresponding to advertising expenditure of ₹ 30 lakh.


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.

Find the equation of the regression line of Y on X, if the observations (Xi, Yi) are the following (1, 4) (2, 8) (3, 2) (4, 12) (5, 10) (6, 14) (7, 16) (8, 6) (9, 18).


A survey was conducted to study the relationship between expenditure on accommodation (X) and expenditure on Food and Entertainment (Y) and the following results were obtained:

Details Mean SD
Expenditure on Accommodation (₹) 178 63.15
Expenditure on Food and Entertainment (₹) 47.8 22.98
Coefficient of Correlation 0.43

Write down the regression equation and estimate the expenditure on Food and Entertainment, if the expenditure on accommodation is ₹ 200.


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If the regression coefficient of Y on X is 2, then the regression coefficient of X on Y is


The lines of regression intersect at the point


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