In: Statistics and Probability
For the result of Performance rating and Aptitude test of the following 5 employees answer the following questions:
Let X be the Aptitude test
ANSWER::
a) Scatter plot:
b) Correlation Coefficient :
X Values
∑ = 307
Mean = 61.4
∑(X - Mx)2 = SSx = 489.2
Y Values
∑ = 14
Mean = 2.8
∑(Y - My)2 = SSy = 2.8
X and Y Combined
N = 5
∑(X - Mx)(Y - My) = -4.6
R Calculation
r = ∑((X - My)(Y - Mx)) / √((SSx)(SSy))
r = -4.6 / √((489.2)(2.8)) = -0.1243
Interpretation: A negative correlation, the relationship between these two variables is only weak ( The nearer the value is to zero, the weaker the relationship).
c)
The value of R^2, the coefficient of determination, is 0.0155 and the value of the coefficient of non determination, is 1-0.0155= 0.9845
d)
Sum of X = 307
Sum of Y = 14
Mean X = 61.4
Mean Y = 2.8
Sum of squares (SSX) = 489.2
Sum of products (SP) = -4.6
Regression Equation = ŷ = bX + a
b = SP/SSX = -4.6/489.2 = -0.0094
a = MY - bMX = 2.8 - (-0.01*61.4) = 3.37735
ŷ = -0.0094X + 3.37735
Interpretation: For every unit change in aptitude test performance rating decrease by 0.0094. The line crosses in downward direction.
e)
X=59
ŷ = -0.0094*59 + 3.37735
ŷ = 2.82
residual= y-ŷ = 3-2.82= 0.18
f)
X= 85
ŷ = -0.0094*85 + 3.37735
ŷ =2.578
ŷ =3 (APPROX)
g)
NULL HYPOTHESIS H0:
ALTERNATIVE HYPOTHESIS Ha:
Level of significance=0.05
t= r*sqrt(n-2)/sqrt(1-r^2)
t= -0.1243*sqrt(3)/sqrt(0.9845)
t= -0.1243*1.73/0.9922
t= -0.2167
Degrees of freedom= 3
The p-value is .419996. The result is not significant because p > .05.
Decision: DO NOT REJECT NULL HYPOTHESIS H0.
Conclusion: We don't have sufficient evidence to show that the association between these two variables are greater than zero.
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