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

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प्रश्न

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

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उत्तर

N = 20, ∑X = 80, ∑Y = 40, ∑X2 = 1680, ∑Y2 = 320 and ∑XY = 480

`bar"X" = (sum"X")/"N" = 80/20` = 4

`bar"Y" - (sum"Y")/"N" = 40/20` = 2

byx = `("N"sum"XY" - (sum"X")(sum"Y"))/("N"sum"X"^2 - (sum"X")^2)`

= `(20(480) - (80)(40))/(20(1680) - (80)^2)`

= `(9600 - 3200)/(33600 - 6400)`

= `6400/27200`

= 0.235

= 0.24

Regression line of Y on X

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

Y − 2 = 0.24 (X − 4)

Y = 0.24X − 0.96 + 2

Y = 0.24X + 1.04

bxy = `("N"sum"XY" - (sum"X")(sum"Y"))/("N"sum"Y"^2 - (sum"Y")^2)`

= `(20(480) - (80)(40))/(20(320) - (40)^2)`

= `(9600 - 3200)/(6400 - 1600)`

= `6400/4800`

= 1.33

Regression line of X on Y

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

X – 4 = 1.33 (Y – 2)

X = 1.33Y – 2.66 + 4

X = 1.33Y + 1.34

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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 4 | 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 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.


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.


The equations of two lines of regression obtained in a correlation analysis are the following 2X = 8 – 3Y and 2Y = 5 – X. Obtain the value of the regression coefficients and correlation coefficients.


The regression coefficient of Y on X


When one regression coefficient is negative, the other would be


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


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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