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.