English

The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find x¯,y¯, r. - Mathematics and Statistics

Advertisements
Advertisements

Question

The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find `bar x, bar y`, r.

Sum

Solution

Given, the two regression equations are

5x - 6y + 90 = 0

i.e., 5x - 6y = - 90      ...(i)

and 15x - 8y - 130 = 0

i.e., 15x - 8y = 130      ...(ii)

By (i) × 3 – (ii), we get

15x - 18y = - 270

15x - 8y =  130
-       +       -     
- 10y = - 400

∴ y = 40

Substituting y = 40 in (i), we get

5x - 6(40) = –90

∴ 5x - 240 = - 90

∴ 5x = - 90 + 240 = 150

∴ x = 30

Since the point of intersection of two regression lines is `(bar x, bar y)`,

∴ `bar x` = 30  and  `bar y` = 40

Now, let 5x – 6y + 90 = 0 be the regression equation of Y on X.

∴ The equation becomes 6Y = 5X + 90

i.e., Y = `5/6 "X" + 90/6`

Comparing it with Y = bYX X + a, we get

∴ `"b"_"YX" = 5/6`

Now, other equation 15x – 8y – 130 = 0 be the regression equation of X on Y.

∴ The equation becomes 15X = 8Y + 130

i.e., X = `8/15 "Y" + 130/15`

Comparing it with X = bXY Y + a', we get

∴ `"b"_"XY" = 8/15`

∴ r = `+-sqrt("b"_"XY" * "b"_"YX")`

`= +- sqrt(8/15 * 5/6) = +- sqrt(4/9) = +- 2/3`

Since bYX and bXY both are positive,

r is positive.

∴ r = `2/3`

shaalaa.com
Properties of Regression Coefficients
  Is there an error in this question or solution?
Chapter 3: Linear Regression - Exercise 3.3 [Page 50]

RELATED QUESTIONS

Two samples from bivariate populations have 15 observations each. The sample means of X and Y are 25 and 18 respectively. The corresponding sum of squares of deviations from respective means is 136 and 150. The sum of the product of deviations from respective means is 123. Obtain the equation of the line of regression of X on Y.


An inquiry of 50 families to study the relationship between expenditure on accommodation (₹ x) and expenditure on food and entertainment (₹ y) gave the following results: 

∑ x = 8500, ∑ y = 9600, σX = 60, σY = 20, r = 0.6

Estimate the expenditure on food and entertainment when expenditure on accommodation is Rs 200.


The following data about the sales and advertisement expenditure of a firms is given below (in ₹ Crores)

  Sales Adv. Exp.
Mean 40 6
S.D. 10 1.5

Coefficient of correlation between sales and advertisement expenditure is 0.9.

What should be the advertisement expenditure if the firm proposes a sales target ₹ 60 crores?


For certain bivariate data the following information is available.

  X Y
Mean 13 17
S.D. 3 2

Correlation coefficient between x and y is 0.6. estimate x when y = 15 and estimate y when x = 10.


For 50 students of a class, the regression equation of marks in statistics (X) on the marks in accountancy (Y) is 3y − 5x + 180 = 0.  The variance of marks in statistics is `(9/16)^"th"` of the variance of marks in accountancy. Find the correlation coefficient between marks in two subjects.


For a bivariate data: `bar x = 53, bar y = 28,` bYX = - 1.5 and bXY = - 0.2. Estimate Y when X = 50.


The equations of two regression lines are x − 4y = 5 and 16y − x = 64. Find means of X and Y. Also, find correlation coefficient between X and Y.


For certain X and Y series, which are correlated the two lines of regression are 10y = 3x + 170 and 5x + 70 = 6y. Find the correlation coefficient between them. Find the mean values of X and Y.


Choose the correct alternative:

If r = 0.5, σx = 3, σy2 = 16, then bxy = ______


The following data is not consistent: byx + bxy =1.3 and r = 0.75


State whether the following statement is True or False: 

If u = x – a and v = y – b then bxy = buv 


State whether the following statement is True or False:

Corr(x, x) = 0


State whether the following statement is True or False:

Regression coefficient of x on y is the slope of regression line of x on y


If u = `(x - 20)/5` and v = `(y - 30)/4`, then byx = ______


The equations of two lines of regression are 3x + 2y – 26 = 0 and 6x + y – 31 = 0. Find variance of x if variance of y is 36


Given the following information about the production and demand of a commodity.

Obtain the two regression lines:

  Production
(X)
Demand
(Y)
Mean 85 90
Variance 25 36

Coefficient of correlation between X and Y is 0.6. Also estimate the demand when the production is 100 units.


The equations of the two lines of regression are 6x + y − 31 = 0 and 3x + 2y – 26 = 0. Find the value of the correlation coefficient


x y xy x2 y2
6 9 54 36 81
2 11 22 4 121
10 5 50 100 25
4 8 32 16 64
8 7 `square` 64 49
Total = 30 Total = 40 Total = `square` Total = 220 Total = `square`

bxy = `square/square`

byx = `square/square`

∴ Regression equation of x on y is `square`

∴ Regression equation of y on x is `square`


If byx > 1 then bxy is _______.


|bxy + byz| ≥ ______.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×