Reference no: EM131293885
Corporate Financial Reporting
2 local companies are facing problems in retaining their employees. The researcher predicts that that the immediate supervisors of each employee in both companies are abusive towards their subordinates. Hence the employee is facing problems and intend to leave the company (turnover intention) soon after joining. The following data is collected from 50 employees of each company.
Turnover intention was measured on the scale from 1-5. 1 stands for no TI and 5 for high TI.
Abusive Supervision was measured on the scale from 1-5 where 1 stands for no AS and 5 for high AS.
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COMPANY 1
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COMPANY 2
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AS
|
TI
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AS
|
TI
|
|
1
|
1
|
1
|
5
|
|
1
|
1
|
1
|
5
|
|
1
|
1
|
1
|
5
|
|
1
|
1
|
1
|
5
|
|
1
|
2
|
1
|
5
|
|
1
|
2
|
1
|
5
|
|
1
|
2
|
1
|
4
|
|
2
|
2
|
1
|
4
|
|
2
|
2
|
1
|
4
|
|
2
|
2
|
1
|
4
|
|
2
|
2
|
1
|
4
|
|
2
|
2
|
1
|
4
|
|
2
|
2
|
1
|
4
|
|
2
|
2
|
1
|
3
|
|
3
|
2
|
1
|
3
|
|
3
|
2
|
1
|
3
|
|
3
|
2
|
1
|
3
|
|
3
|
2
|
1
|
3
|
|
3
|
2
|
1
|
3
|
|
3
|
3
|
1
|
3
|
|
4
|
3
|
1
|
3
|
|
4
|
3
|
2
|
3
|
|
4
|
3
|
2
|
3
|
|
4
|
3
|
2
|
3
|
|
4
|
3
|
2
|
3
|
|
4
|
4
|
2
|
3
|
|
4
|
4
|
2
|
3
|
|
4
|
4
|
2
|
3
|
|
4
|
4
|
2
|
3
|
|
5
|
4
|
2
|
3
|
|
5
|
4
|
2
|
3
|
|
5
|
4
|
2
|
3
|
|
5
|
4
|
2
|
3
|
|
5
|
4
|
2
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
4
|
3
|
3
|
|
5
|
5
|
4
|
3
|
|
5
|
5
|
4
|
3
|
|
5
|
5
|
4
|
3
|
|
5
|
5
|
4
|
3
|
|
5
|
5
|
4
|
3
|
|
5
|
5
|
4
|
3
|
|
5
|
5
|
5
|
2
|
|
5
|
5
|
5
|
2
|
|
5
|
5
|
5
|
2
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1. State Hypothesis (NO NEED TO STATE NULL)
2. Is there any correlation between AS and TI. Draw correlation matrix and give interpretation.
3. Perform regression Analysis to accept or reject the null hypothesis. Draw the regression table and interpret.
4. Plot a scatter dot graph on SPSS and draw regression line. Interpret.
Note:
Perform data analysis for both companies separately. And compare the results of two.
Don't copy paste tables from the spss
Draw in proper format
Put only relevant values in the tables.
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: Is there any correlation between AS and TI. Draw correlation matrix and give interpretation. Perform regression Analysis to accept or reject the null hypothesis. Draw the regression table and interpret.
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