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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. - Business Mathematics and Statistics

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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.

योग
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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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अध्याय 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
अध्याय 9 Correlation and Regression Analysis
Exercise 9.2 | Q 11 | पृष्ठ २२७

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,
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  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.


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.


For 5 observations of pairs of (X, Y) of variables X and Y the following results are obtained. ∑X = 15, ∑Y = 25, ∑X2 = 55, ∑Y2 = 135, ∑XY = 83. Find the equation of the lines of regression and estimate the values of X and Y if Y = 8; X = 12.


The regression coefficient of Y on X


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


Find the line regression of Y on X

X 1 2 3 4 5 8 10
Y 9 8 10 12 14 16 15

Using the following information you are requested to

  1. obtain the linear regression of Y on X
  2. Estimate the level of defective parts delivered when inspection expenditure amounts to ₹ 82
    ∑X = 424, ∑Y = 363, ∑X2 = 21926, ∑Y2 = 15123, ∑XY = 12815, N = 10.
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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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