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