मराठी
तामिळनाडू बोर्ड ऑफ सेकेंडरी एज्युकेशनएचएससी वाणिज्य इयत्ता ११

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: - Business Mathematics and Statistics

Advertisements
Advertisements

प्रश्न

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:

X 61 68 68 64 65 70 63 62 64 67
Y 112 123 130 115 110 125 100 113 116 125

Estimate weight of the student of a height 69 inches.

बेरीज

उत्तर

Height
(X)
Weight
(Y)
dx = X − 65 dy = Y − 117 dx2 dy2 dxdy
61 112 − 4 − 5 16 25 20
68 123 3 6 9 36 18
68 130 3 13 9 169 39
64 115 − 1 − 2 1 4 2
65 110 0 − 7 0 49 0
70 125 5 8 25 64 40
63 100 − 2 − 17 4 289 34
62 113 − 3 − 4 9 16 12
64 116 − 1 − 1 1 1 1
67 125 2 8 4 64 16
652 1169 2 − 1 78 717 182

N = 10, ∑X = 652, ∑Y = 1169, ∑dx = 2, ∑dy = − 1, ∑dx2 = 78, ∑dy2 = 717, ∑dxdy = 182, `bar"X" = 652/10` = 65.2, `bar"Y" = 1169/10` = 116.9

byx = `("N"sum"dxdy" - (sum"dx")(sum"dy"))/("N"sum"dx"^2 - (sum"dx")^2)`

= `(10(182) - (2)(-1))/(10(78) - (2)^2)`

= `1822/776`

= 2.3479

Regression equation of Y on X

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

Y – 117 = 2.3479 (X – 65.2)

Y – 117 = 2.3479X – (2.3479)(65.2)

Y = 2.3479X – 153.08308 + 117

Y = 2.3479 – 36.08308

When the height X = 69 inches

Weight, Y = 2.3479(69) – 36.08308

= 162.0051 – 36.08308

= 125.92202

= 125.92 lb

shaalaa.com
Regression Analysis
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 9: Correlation and Regression Analysis - Exercise 9.2 [पृष्ठ २२६]

APPEARS IN

सामाचीर कलवी Business Mathematics and Statistics [English] Class 11 TN Board
पाठ 9 Correlation and Regression Analysis
Exercise 9.2 | Q 3 | पृष्ठ २२६

संबंधित प्रश्‍न

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

Heights of fathers: 158 166 163 165 167 170 167 172 177 181
Heights of Sons: 163 158 167 170 160 180 170 175 172 175

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


Obtain the two regression lines from the following data N = 20, ∑X = 80, ∑Y = 40, ∑X2 = 1680, ∑Y2 = 320 and ∑XY = 480.


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.


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.


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 regression coefficient of X on Y


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.


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×