The production department of Celltronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, 2 employees were assigned to assemble the subassemblies. They produced 11 during a one-hour period. Then 4 employees assembled them. They produced 18 during a one-hour period. The complete set of paired observations follows.
Number
of Assemblers |
One-Hour Production (units) |
2 | 11 |
4 | 18 |
1 | 7 |
5 | 29 |
3 | 20 |
The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees.
Compute the coefficient of correlation.
X | Y | (x- x̄ ) | (y- ȳ ) | (x- x̄)2 | (y-ȳ )2 | (x-x̄ )(y- ȳ) |
2 | 11 | -6 | 36 | |||
4 | 18 | 1 | 1 | 1 | ||
1 | 7 | -10 | 100 | |||
5 | 29 | 2 | 4 | 24 | ||
3 | 20 | 3 | 0 | 0 | ||
x̄=_______ ȳ=________ Sx=_________
Sy=_______ r=__________
X Values
∑ = 15
Mean = 3
∑(X - Mx)2 = SSx = 10
Y Values
∑ = 85
Mean = 17
∑(Y - My)2 = SSy = 290
X and Y Combined
N = 5
∑(X - Mx)(Y - My) = 51
R Calculation
r = ∑((X - My)(Y - Mx)) /
√((SSx)(SSy))
r = 51 / √((10)(290)) = 0.947
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