In: Statistics and Probability
MGMT 582
Homework: Validation Problem
Pearson’s r
| 
 Respondent  | 
 Score X  | 
 Score Y  | 
 X – x̄  | 
 (X – x̄) ²  | 
 Y – ȳ  | 
 (Y – ȳ) ²  | 
 (X – x̄) (Y– ȳ)  | 
  | 
 18  | 
 92  | 
|||||
  | 
 36  | 
 65  | 
|||||
  | 
 24  | 
 91  | 
|||||
  | 
 28  | 
 85  | 
|||||
  | 
 25  | 
 70  | 
| 
 Respondent  | 
 Score X  | 
 Score Y  | 
 X – x̄  | 
 (X – x̄) ²  | 
 Y – ȳ  | 
 (Y – ȳ) ²  | 
 (X – x̄) (Y– ȳ)  | 
  | 
 96  | 
 92  | 
|||||
  | 
 56  | 
 65  | 
|||||
  | 
 84  | 
 91  | 
|||||
  | 
 88  | 
 85  | 
|||||
  | 
 72  | 
 70  | 
1. 
X Values
∑ = 131
Mean = 26.2
∑(X - Mx)2 = SSx = 172.8
Y Values
∑ = 403
Mean = 80.6
∑(Y - My)2 = SSy = 613.2
X and Y Combined
N = 5
∑(X - Mx)(Y - My) = -248.6
R Calculation
r = ∑((X - My)(Y - Mx)) / √((SSx)(SSy))
r = -248.6 / √((172.8)(613.2)) = -0.7637
b. As r is negative and value is near 1, so it is strong negative correlation
2. 
X Values
∑ = 396
Mean = 79.2
∑(X - Mx)2 = SSx = 972.8
Y Values
∑ = 403
Mean = 80.6
∑(Y - My)2 = SSy = 613.2
X and Y Combined
N = 5
∑(X - Mx)(Y - My) = 718.4
R Calculation
r = ∑((X - My)(Y - Mx)) / √((SSx)(SSy))
r = 718.4 / √((972.8)(613.2)) = 0.9302
b. As r is positive and value is near 1, there is strong postivie correlation