Question

Question 1. The following table summarizes the results of the test on the three branches. SUMMARY...

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.

  • the average performance score of an employee;
  • the number of years an employee has worked for the company; and
  • the number of training hours received by the employee.

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

Homework Answers

Answer #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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