Example In a partially destroyed laboratory
record of an analysis of correlation data, the following results
are legible:
Variance of x = 9
Regression equations : 8 x - 10 y + 66 = 6
40 x - 18 y = 214
What are (1) Means of x’s and y’s (2) the coefficient of correlation between x and y (3) the standard deviation of y ?
Solution:
-
Means:
8 x - 10 y = -66 ----- (1)
40 x - 18 y = 214 ----- (2)
Solving (1) and (2) as
40 x - 50 y = -330 ----- (1)
40 x - 18 y = 214 ----- (2)
-32 y = -544
y = 17
\ Mean of
y’s
17
Substituting y = 17 in (1) we get 8x
- 10 ´ 17 = -66
or 8x = 104 \
x = 13
\ Mean of
x’s
= 13
-
Coefficient of correlation between x and y
40 x = 18 y + 214
Also -10 y = - 8 x - 66
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Index
6. 1 Introduction
6. 2 Correlation
6. 3 Types of Correlation
6. 4 Degrees of Correlation
6. 5 Methods of determining correlation
6. 6 Coefficients of Correlation for Bivariate
Grouped Data
6. 7 Probable Error
6. 8 Rank Correlation Coefficient
6. 9 Linear Regression
Chapter 7
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