Calculate the regression coefficient and obtain the lines of regression for the following data

Example 9.9

Calculate the regression coefficient and obtain the lines of regression for the following data

*Solution:*

Y = 0.929*X*â€“3.716+11

= 0.929*X*+7.284

The regression equation of *Y* on *X* is *Y*= 0.929*X* + 7.284

Example 9.10

Calculate the two regression equations of *X* on *Y* and *Y* on *X* from the data given below, taking deviations from a actual means of *X* and *Y*.

Estimate the likely demand when the price is Rs.20.

*Solution:*

Calculation of Regression equation

When *X* is 20, *Y* will be

* *= â€“0.25 (20)+44.25

* *= â€“5+44.25

= 39.25 (when the price is Rs. 20, the likely demand is 39.25)

Example 9.11

Obtain regression equation of *Y* on *X* and estimate *Y* when *X*=55 from the following

*Solution:*

*Y*â€“51.57 = 0.942(*X*â€“48.29 )

Y = 0.942*X*â€“45.49+51.57=0.942 #â€“45.49+51.57

Y = 0.942X+6.08

The regression equation of *Y* on *X* is *Y*= 0.942*X*+6.08 Estimation of *Y* when *X*= 55

*Y*= 0.942(55)+6.08=57.89

Example 9.12

Find the means of *X* and *Y* variables and the coefficient of correlation between them from the following two regression equations:

2*Y*â€“Xâ€“50 = 0

3Yâ€“2Xâ€“10 = 0.

*Solution:*

We are given

2Yâ€“Xâ€“50 = 0 ... (1)

3Yâ€“2Xâ€“10 = 0 ... (2)

Solving equation (1) and (2)

We get Y = 90

Putting the value of *Y* in equation (1)

We get X = 130

Let us assume equation (1) be the regression equation of *Y* on *X*

2*Y* = *X*+50

NOTE

It may be noted that in the above problem one of the regression coefficient is greater than 1 and the other is less than 1. Therefore our assumption on given equations are correct.

Example 9.13

Find the means of *X* and *Y* variables and the coefficient of correlation between them from the following two regression equations:

4Xâ€“5Y+33 = 0

20Xâ€“9Yâ€“107 = 0

*Solution:*

We are given

4Xâ€“5Y+33 = 0 ... (1)

20Xâ€“9Yâ€“107 = 0 ... (2)

Solving equation (1) and (2)

We get Y = 17

Putting the value of *Y* in equation (1)

Calculating correlation coefficient

Let us assume equation (1) be the regression equation of *X* on *Y*

Let us assume equation (2) be the regression equation of *Y* on *X*

But this is not possible because both the regression coefficient are greater than

So our above assumption is wrong. Therefore treating equation (1) has regression equation of *Y* on *X* and equation (2) has regression equation of *X* on *Y* . So we get

Example 9.14

The following table shows the sales and advertisement expenditure of a form

Coefficient of correlation *r*= 0.9. Estimate the likely sales for a proposed advertisement expenditure of Rs. 10 crores.

*Solution:*

When advertisement expenditure is 10 crores i.e., *Y*=10 then sales *X*=6(10)+4=64 which implies sales is 64.

Example 9.15

There are two series of index numbers *P* for price index and *S* for stock of the commodity. The mean and standard deviation of *P* are 100 and 8 and of S are 103 and 4 respectively. The correlation coefficient between the two series is 0.4. With these data obtain the regression lines of *P* on *S* and *S* on *P*.

*Solution:*

Let us consider *X* for price *P* and *Y* for stock *S*. Then the mean and *SD* for *P* is considered as X-Bar = 100 and Ïƒ*x*=8. respectively and the mean and SD of S is considered as Y-Bar =103 and Ïƒ*y*=4. The correlation coefficient between the series is *r*(*X*,*Y*)=0.4

Let the regression line *X* on *Y* be

Example 9.16

For 5 pairs of observations the following results are obtained âˆ‘*X*=15, âˆ‘*Y*=25, âˆ‘*X*2 =55, âˆ‘*Y*2 =135, âˆ‘*XY*=83 Find the equation of the lines of regression and estimate the value of *X* on the first line when *Y*=12 and value of *Y* on the second line if *X*=8.

*Solution:*

*Y*â€“5 = 0.8(Xâ€“3)

* *= 0.8*X*+2.6

When *X*=8 the value of *Y* is estimated as

* *= 0.8(8)+2.6

= 9

Example 9.17

The two regression lines are 3*X*+2*Y*=26 and 6*X*+3*Y*=31. Find the correlation coefficient.

*Solution:*

Let the regression equation of *Y* on *X* be

3*X*+2*Y* = 26

Example 9.18

In a laboratory experiment on correlation research study the equation of the two regression lines were found to be 2Xâ€“*Y*+1=0 and 3*X*â€“2*Y*+7=0 . Find the means of *X* and *Y*. Also work out the values of the regression coefficient and correlation between the two* *variables *X* and *Y*.

*Solution:*

Solving the two regression equations we get mean values of *X* and *Y*

Example 9.19

For the given lines of regression 3*X*â€“2*Y*=5and Xâ€“4*Y*=7. Find

(i) Regression coefficients

(ii) Coefficient of correlation

*Solution:*

(i) First convert the given equations *Y* on *X* and *X* on *Y* in standard form and find their regression coefficients respectively.

Given regression lines are

3Xâ€“2Y = 5 ... (1)

Xâ€“4Y = 7 ... (2)

Let the line of regression of X on Y is

3Xâ€“2Y = 5

3X = 2Y+5

Coefficient of correlation

Since the two regression coefficients are positive then the correlation coefficient is also positive and it is given by

Exercise 9.2

1. From the data given below

Find (a) The two regression equations, (b) The coefficient of correlation between marks in Economics and statistics, (c) The mostly likely marks in Statistics when the marks in Economics is 30.

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

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

3. 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:

Estimate weight of the student of a height 69 inches.

4. Obtain the two regression lines from the following data *N*=20, âˆ‘*X*=80, âˆ‘*Y*=40, âˆ‘*X*2=1680, âˆ‘*Y*2=320 and âˆ‘*XY*=480

5. Given the following data, what will be the possible yield when the rainfall is 29â‚¹â‚¹

Coefficient of correlation between rainfall and production is 0.8

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

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

7. You are given the following data:

If the Correlation coefficient between *X* and *Y* is 0.66, then find (i) the two regression coefficients, (ii) the most likely value of *Y* when *X*=10

8. 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)

9. 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:

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

10. For 5 observations of pairs of (*X*, *Y*) of variables *X* and *Y* the following results are obtained. âˆ‘*X*=15, âˆ‘*Y*=25, âˆ‘X2=55, âˆ‘*Y*2=135, âˆ‘*XY*=83. Find the equation of the lines of regression and estimate the values of *X* and *Y* if *Y*=8 ; *X*=12.

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

12. The equations of two lines of regression obtained in a correlation analysis are the following 2*X*=8â€“3*Y* and 2*Y*=5â€“*X* . Obtain the value of the regression coefficients and correlation coefficient.

Tags : Maths , 11th Business Mathematics and Statistics(EMS) : Chapter 9 : Correlation and Regression analysis

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11th Business Mathematics and Statistics(EMS) : Chapter 9 : Correlation and Regression analysis : Solved Example Problems for Regression Analysis | Maths

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