In: Economics
The following data relates to scores awarded by 2 architects for a certain building design. Calculate the Spearman rank correlation and interpret the results.
|
Architect |
|
No. |
1 |
2 |
1 |
37 |
42 |
2 |
28 |
34 |
3 |
30 |
40 |
4 |
18 |
28 |
5 |
31 |
30 |
6 |
40 |
43 |
where, D is the difference between the corresponding ranks of the data set.
Let architect 1 be A1 and architect 2 be A2
Let R1 and R2 represent the corresponding ranks of the data set.
A1 |
A2 |
R1 |
R2 |
D2 |
37 |
42 |
2 |
2 |
0 |
28 |
34 |
5 |
4 |
1 |
30 |
40 |
4 |
3 |
1 |
18 |
28 |
6 |
6 |
0 |
31 |
30 |
3 |
5 |
4 |
40 |
43 |
1 |
1 |
0 |
|
|
|
|
∑D2 = 6 |
rs = 0.8286, meaning there is a strong positive correlation between the scores awarded by the architects.
There is a strong positive correlation between the scores awarded by the architects.