Question 1. The following table summarizes the results of the test on the three branches.
SUMMARY |
||||||
Groups |
Count |
Sum |
Average |
Variance |
||
Branch 1 |
5 |
266 |
53.2 |
177.2 |
||
Branch 2 |
5 |
340 |
68 |
147.5 |
||
Branch 3 |
5 |
389 |
77.8 |
178.7 |
||
ANOVA |
||||||
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
Between Groups |
1533.73 |
2.00 |
766.87 |
4.57 |
0.03 |
3.89 |
Within Groups |
2013.60 |
12.00 |
167.80 |
|||
Total |
3547.33 |
14.00 |
a) Interpret the results of the ANOVA.
b) Which branch deserves the reward for its performance?
Question 2: Fatima is working on the compensation package of employees, and is considering the following factors that may influence an employee’s salary.
Identify the independent and dependent variables.
Question 3. The results of the correlation analysis in the Correlation Matrix these variables are depicted below. Use information in the table to discuss the strength and nature of relationship between the four variables.
Training |
Performance |
Years of Service |
Annual Salary |
|
Training |
1 |
|||
Performance |
0.016 |
1 |
||
Years of Service |
0.377 |
-0.268 |
1 |
|
Annual Salary |
0.597 |
0.709 |
0.286 |
1 |
Que.1
a.
P-value for F test is 0.03, which is less than 0.05, hence we conclude that at least one branch's test score is significantly different than others.
b.
Since branch 3 has maximum mean test score, hence branch 3 deserves the reward for its performance.
Que.2
Independent variables = Training, Performance, Years of service
Dependent variable = Annual salary
Que.3
1. There is high degree positive correlation (r = 0.597) between the number of training hours received by the employee and his/her annual salary.
2. There is very high degree positive correlation (r = 0.709) between the average performance score of an employee and his/her annual salary.
3. There is low degree positive correlation (r = 0.286) between the number of years an employee has worked for the company and his/her annual salary.
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