Researchers are looking to compare two groups of patients sampled from two different drug interventions. The columns for group 1 and 2 represent the patient’s addiction scores for the two different interventions while column 3 represents the average susceptibility measures for patients in group 2 (assume normality).
Group 1 |
Group 2 |
Susceptibility |
||
5 |
4 |
3.56 |
||
3 |
3 |
2.23 |
||
1 |
4 |
-4.93 |
||
2 |
5 |
-4.97 |
||
3 |
4 |
-1.92 |
||
7 |
1 |
2.85 |
||
6 |
6 |
-1.98 |
||
5 |
3 |
4.35 |
||
2 |
7 |
-0.44 |
||
4 |
6 |
-2.48 |
Calculate the correlation between group 2 addiction score and patient susceptibility. Comment on the strength and the direction of the correlation.
X Values
∑ = 43
Mean = 4.3
∑(X - Mx)2 = SSx = 28.1
Y Values
∑ = -3.73
Mean = -0.373
∑(Y - My)2 = SSy = 106.257
X and Y Combined
N = 10
∑(X - Mx)(Y - My) = -29.221
R Calculation
r = ∑((X - My)(Y - Mx)) /
√((SSx)(SSy))
r = -29.221 / √((28.1)(106.257)) = -0.5348
As we see that correlation is having negative sign which means there is negative correlation between x and y
And as value is -0.5348, there is moderate correlation between x and y
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