हिंदी

The age in years of 7 young couples is given below. Calculate husband’s age when wife’s age is 38 years. Husband (x) 21 25 26 24 22 30 20 Wife (y) 19 20 24 20 22 24 18

Advertisements
Advertisements

प्रश्न

The age in years of 7 young couples is given below. Calculate husband’s age when wife’s age is 38 years.

Husband (x) 21 25 26 24 22 30 20
Wife (y) 19 20 24 20 22 24 18
सारिणी
योग
Advertisements

उत्तर

Given, X = Age of husband,

Y = Age of wife

  X = xi Y = yi xi2 yi2 xiyi
  21 19 441 361 399
  25 20 625 400 500
  26 24 676 576 624
  24 20 576 400 480
  22 22 484 484 484
  30 24 900 576 720
  20 18 400 324 360
Total 168 147 4102 3121 3567

From the table, we have

`n = 7, sumx_"i" = 168,  sumy_"i" = 147, sumx_"i"^2 = 4102`

`sumx_"i"y_"i" = 3567, sumy"i"^2 = 3121`

∴ `bar(x) = (sumx_"i")/"n" = 168/7 = 24`

`bar(y) = (sumy_"i")/"n" = 147/7 = 21`

byx = `(sumx_"i"y_"i" - "n"bar(x) bar(y))/(sumx_"i"^2 - "n"bar(x)^2)`

= `(3567 - 7 xx 24 xx 21)/(4102 - 7 xx (24)^2`

= `(3567 - 3528)/(4102 - 4032)`

= `39/70`

= `0.557`

Now, a = `bar(y) - "b"_(yx)  bar(x)`

= `21 – 0.557 × 24`

= `21 – 13.368`

= `7.632`

bxy = `(sumx_"i"y_"i" - "n"bar(x) bar(y))/(sumy_"i"^2 - "n"bar(y)^2)`

= `(3567 - 7 xx 24 xx 21)/(4102 - 7 xx (21)^2`

= `(3567 - 3528)/(3121 - 3087)`

= `39/34`

= `1.147`

Now, a' = `bar(x) - "b"_(xy)  bar(y)`

= `24 – 1.147 × 21`

= `24 – 24.087`

= `– 0.087`

The regression equation of age of husband (X) on age of wife (Y) is

X = a' + bxy Y

`∴ X = – 0.087 + 1.147 Y`

when wife’s age is 38 years, Y = 38

`∴ X = – 0.087 + 1.147 × 38 = 43.5`

∴ Husband’s age is 43.5 years, when wife’s age is 38 years.

shaalaa.com
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 2.3: Linear Regression - Q.4

वीडियो ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्न

Given that the observations are: (9, -4), (10, -3), (11, -1), (12, 0), (13, 1), (14, 3), (15, 5), (16, 8). Find the two lines of regression and estimate the value of y when x = 13·5.


If Σx1 = 56 Σy1 = 56, Σ`x_1^2` = 478,
Σ`y_1^2` = 476, Σx1y1 = 469 and n = 7, Find
(a) the regression equation of y on x.
(b) y, if x = 12.


Compute the product moment coefficient of correlation for the following data: 
n = 100, `bar x` = 62, `bary` = 53, `sigma_x` = 10, `sigma_y` = 12

`Sigma (x_i - bar x) (y_i - bary) = 8000`


Information on v:ehicles [in thousands) passing through seven different highways during a day (X) and number of accidents reported (Y) is given as follows :   

`Sigmax_i` = 105, `Sigmay_i` = 409, n = 7, `Sigmax_i^2` = 1681, `Sigmay_i^2` = 39350 `Sigmax_iy_i` = 8075

  Obtain the linear regression of Y on X.


The two lines of regressions are x + 2y – 5 = 0 and 2x + 3y – 8 = 0 and the variance of x is 12. Find the variance of y and the coefficient of correlation.


For the following bivariate data obtain the equations of two regression lines:

X 1 2 3 4 5
Y 5 7 9 11 13

From the data of 20 pairs of observations on X and Y, following results are obtained.

`barx` = 199, `bary` = 94,

`sum(x_i - barx)^2` = 1200, `sum(y_i - bary)^2` = 300,

`sum(x_i - bar x)(y_i - bar y)` = –250

Find:

  1. The line of regression of Y on X.
  2. The line of regression of X on Y.
  3. Correlation coefficient between X and Y.

Given the following data, obtain a linear regression estimate of X for Y = 10, `bar x = 7.6, bar y = 14.8, sigma_x = 3.2, sigma_y = 16` and r = 0.7


The data obtained on X, the length of time in weeks that a promotional project has been in progress at a small business, and Y, the percentage increase in weekly sales over the period just prior to the beginning of the campaign.

X 1 2 3 4 1 3 1 2 3 4 2 4
Y 10 10 18 20 11 15 12 15 17 19 13 16

Find the equation of the regression line to predict the percentage increase in sales if the campaign has been in progress for 1.5 weeks.


If for a bivariate data byx = – 1.2 and bxy = – 0.3 then find r.


From the two regression equations y = 4x – 5 and 3x = 2y + 5, find `bar x and bar y`.


Find the equation of the line of regression of Y on X for the following data:

n = 8, `sum(x_i - barx).(y_i - bary) = 120, barx = 20, bary = 36, sigma_x = 2, sigma_y = 3`


Regression equation of X on Y is ______


Regression equation of X on Y is_________


In the regression equation of Y on X, byx represents slope of the line.


Choose the correct alternative:

The slope of the line of regression of y on x is called the ______


Choose the correct alternative:

If the lines of regression of Y on X is y = `x/4` and X on Y is x = `y/9 + 1` then the value of r is


State whether the following statement is True or False:

y = 5 + 2.8x and x = 3 + 0.5y be the regression lines of y on x and x on y respectively, then byx = – 0.5


If the regression equations are 8x – 10y + 66 = 0 and 40x – 18y = 214, the mean value of y is ______


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


If n = 5, Σx = Σy = 20, Σx2 = Σy2 = 90, Σxy = 76 Find the regression equation of x on y


If `bar"X"` = 40, `bar"Y"` = 6, σx = 10, σy = 1.5 and r = 0.9 for the two sets of data X and Y, then the regression line of X on Y will be:


The management of a large furniture store would like to determine sales (in thousands of ₹) (X) on a given day on the basis of number of people (Y) that visited the store on that day. The necessary records were kept, and a random sample of ten days was selected for the study. The summary results were as follows:

`sumx_i = 370 , sumy_i = 580, sumx_i^2 = 17200 , sumy_i^2 = 41640, sumx_iy_i = 11500, n = 10`


For a bivariate data `barx = 10`, `bary = 12`, V(X) = 9, σy = 4 and r = 0.6
Estimate y when x = 5

Solution: Line of regression of Y on X is

`"Y" - bary = square ("X" - barx)`

∴ Y − 12 = `r.(σ_y)/(σ_x)("X" - 10)`

∴ Y − 12 = `0.6 xx 4/square ("X" - 10)`

∴ When x = 5

Y − 12 = `square(5 - 10)`

∴ Y − 12 = −4

∴ Y = `square`


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×