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MEASURES OF
CORRELATION
Correlation

|A measure to determine the degree of
relationship of two sets of variables, X
and Y.
Perfect Positive Correlation
Perfect Negative Correlation
Pearson Product
Moment
Correlation
Coefficient
Pearson r

|A linear correlation necessary to find
the degree of the association of two
sets of variables X and Y.
F
ormula:
N

rxy
N

X

2

XY
X

X
2

N

Y
Y

2

Y

2
rxy = correlation between X and Y

X = sum of test X

Y = sum of test Y
∑XY= sum of the product of X and Y
N = number of cases

X 2 = sum of squared X scores
Y 2 =sum of squared Y scores
F example:
or
r=0.99
Spearman Rank
Correlation
Coefficient or
Spearman Rho
Spearman Rho

|A statistic which is used to measure
the relationship of paired ranks assigned
to individual scores on two variables.
F
ormula:
rs

= Spearman rho
D2 =

sum of the squared differences between

ranks
N = Number of cases
Computation of Spearman rho Between Capital
(X) and Profit (Y) of Dried Fish
Businessmen
1
2
3
4
5
6
7
8
9
10

X
Php 20,000
50,000
10,000
100,000
18,000
25,000
11,000
150,000
5,000
40,000

Y
Php5,000
15,000
3,000
30,000
4,000
9,000
6,000
70,000
3,000
15,000
Computation of Spearman rho Between Capital (X) and
Profit (Y) of Dried Fish
Businessmen

X

Y

Rx

1
2
3
4
5
6
7
8
9
10

Php 20,000
50,000
10,000
100,000
18,000
25,000
11,000
150,000
5,000
40,000

Php5,000
15,000
3,000
30,000
4,000
9,000
6,000
70,000
3,000
15,000

6
3
9
2
7
5
8
1
10
4

Ry
7
3.5
9.5
2
8
5.0
6.0
1
9.5
3.5
Computation of Spearman rho Between Capital (X) and
Profit (Y) of Dried Fish

Businessmen

X

Y

1

Php 20,000

2

D

D2

Rx

Ry

Php5,000

6

7

1.0

1.00

50,000

15,000

3

3.5

-0.5

0.25

3

10,000

3,000

9

9.5

-0.5

0.25

4

100,000

30,000

2

2

0

0

5

18,000

4,000

7

8

-1.0

1.00

6

25,000

9,000

5

5.0

0

0

7

11,000

6,000

8

6.0

2.0

4.00

8

150,000

70,000

1

1

0

0

9

5,000

3,000

10

9.5

0.5

0.25

10

40,000

15,000

4

3.5

0.5

0.25
Computation of Spearman rho Between Capital (X) and
Profit (Y) of Dried Fish
Interpretation
of Correlation
Value
Consider the following:
|An r from 0.00 to +0.20 denotes neglible correlation
|An r from +0.20 to + 0.40 denotes low or slight
relationship
|An r from +0.41 to + 0.70 denotes marked or moderate
correlation
|An r from +0.71 to + 0.90 denotes high relationship
|An r from +0.91 to + 0.99 denotes very high relationship
|An r from +1..00 denotes perfect relationship
THANK YOU!

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Measures of correlation (pearson's r correlation coefficient and spearman rho)