English
Tamil Nadu Board of Secondary EducationHSC Commerce Class 11

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 The two regression equations, - Business Mathematics and Statistics

Advertisements
Advertisements

Question

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.
Sum
Advertisements

Solution

Marks in Economics (X) Marks in Statistics (Y) x = `"X" - bar"X"` y = `"Y" - bar"Y"` x2 y2 xy
25 43 − 7 5 49 25 − 35
28 46 − 4 8 16 64 − 32
35 49 3 11 9 121 33
32 41 0 3 0 9 0
31 36 − 1 − 2 1 4 2
36 32 4 − 6 16 36 − 24
29 31 − 3 − 7 9 49 21
38 30 6 − 8 36 64 − 48
34 33 2 − 5 4 25 − 10
32 39 0 1 0 1 0
320 380 0 0 140 398 − 93

N = 10, ∑X = 320, ∑Y = 280, ∑x2 = 140, ∑y2 = 398, ∑xy = − 93, `bar"X" = 320/100` = 32, `bar"Y" = 380/100` = 38

(a) Regression equation of X on Y.

bxy = `"r"(sigma_"x")/(sigma_"y") = (sum"xy")/(sum"y"^2) = (-93)/398` = − 0.234

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

X − 32 = − 0.234(Y − 38)

X = − 0.234Y + 8.892 + 32

X = − 0.234Y + 40.892

Regression equation of Y on X.

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

byx = `"r"(sigma_"x")/(sigma_"y") = (sum"xy")/(sum"y"^2) = (-93)/140` = − 0.664

Y − 38 = − 0.664(X − 32)

Y = − 0.664X + 21.248 + 38

Y = − 0.664X + 59.248

(b) Coefficient of correlation (r) = `±sqrt("b"_"xy" xx "b"_"yx")`

= `sqrt((-0.234)(-0.664))`

= − 0.394

(c) When X = 30, Y = ?

Y = − 0.664(30) + 59.248

= − 19.92 + 59.248

= 39.328

shaalaa.com
Regression Analysis
  Is there an error in this question or solution?
Chapter 9: Correlation and Regression Analysis - Exercise 9.2 [Page 226]

APPEARS IN

Samacheer Kalvi Business Mathematics and Statistics [English] Class 11 TN Board
Chapter 9 Correlation and Regression Analysis
Exercise 9.2 | Q 1 | Page 226

RELATED QUESTIONS

Given the following data, what will be the possible yield when the rainfall is 29.

Details Rainfall Production
Mean 25`` 40 units per acre
Standard Deviation 3`` 6 units per acre

Coefficient of correlation between rainfall and production is 0.8.


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 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.


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 X on Y


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


The following data pertains to the marks in subjects A and B in a certain examination. Mean marks in A = 39.5, Mean marks in B = 47.5 standard deviation of marks in A = 10.8 and Standard deviation of marks in B = 16.8. coefficient of correlation between marks in A and marks in B is 0.42. Give the estimate of marks in B for the candidate who secured 52 marks in A.


X and Y are a pair of correlated variables. Ten observations of their values (X, Y) have the following results. ∑X = 55, ∑XY = 350, ∑X2 = 385, ∑Y = 55, Predict the value of y when the value of X is 6.


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.
    Here X is the expenditure on inspection, Y is the defective parts delivered.

Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×