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Correlation
Marks obtained in Maths and Economics obtained by six students are given below. Calculate rank co-efficient.
|
Students |
Marks in Maths |
Marks in Economics |
|
A |
85 |
60 |
|
B |
60 |
48 |
|
C |
55 |
49 |
|
D |
65 |
50 |
|
E |
75 |
55 |
|
F |
90 |
62 |
|
N = 6 |
Calculation of Rank Correlation
|
Marks in Maths X |
R1 |
Marks in Economics Y |
D1(R1–R2) |
D2 |
|
|
85 |
2 |
60 |
2 |
0 |
0 |
|
60 |
5 |
48 |
6 |
–1 |
1 |
|
55 |
6 |
49 |
5 |
1 |
1 |
|
65 |
4 |
50 |
4 |
0 |
0 |
|
75 |
3 |
55 |
3 |
0 |
0 |
|
90 |
1 |
62 |
1 |
0 |
0 |
|
1 |
ΣD2 = 2 |
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The unit of correlation coefficient between height in feet and weight in kgs is:
The range of simple correlation coefficient is:
If rxy is positive the relation between X an Y is of the type:
If rxy = 0 the variable X and Y are:
Of the following three measures which can measure any type of relationship:
If precisely measured data are available the simple correlation coefficient is:
Why is r preferrred to co-variance as a measure of association?
Can r lie outside -1 and 1 range depending on the type of data?
Does correlation imply causation?
When is rank correlation more precise than simple correlation coefficient?
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