English
Tamil Nadu Board of Secondary EducationHSC Commerce Class 11

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: - Business Mathematics and Statistics

Advertisements
Advertisements

Question

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.

Sum

Solution

`bar"X"` = 178, `bar"Y"` = 47.8, σx = 63.15, σy = 22.98, r = 0.43

byx = `"r"(sigma_"y")/(sigma_"x") = 0.43 xx 22.98/63.15` = 0.1565

Regression line of Y on X:

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

Y – 47.8 = 0.1565(X – 178)

Y = 0.1565X – 27.857 + 47.8

Y = 0.1565X + 19.94

When the expenditure on accommodation is ₹ 200 the expenditure on food and entertainments is,

Y = 0.1565X + 19.94

Y = 0.1565(200) + 19.94

= 31.3 + 19.94

= ₹ 51.24

shaalaa.com
Regression Analysis
  Is there an error in this question or solution?
Chapter 9: Correlation and Regression Analysis - Exercise 9.2 [Page 227]

APPEARS IN

Samacheer Kalvi Business Mathematics and Statistics [English] Class 11 TN Board
Chapter 9 Correlation and Regression Analysis
Exercise 9.2 | Q 9 | Page 227

RELATED QUESTIONS

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

Advertisement expenditure 40 50 38 60 65 50 35
Sales 38 60 55 70 60 48 30

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


When one regression coefficient is negative, the other would be


The lines of regression of X on Y estimates


The lines of regression intersect at the point


The term regression was introduced by


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.

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.

Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×