RUNNING HEAD: Strategic Marketing Plan
Unit 5 – Regression Analysis
Type your Name Here
American InterContinental University
Abstract
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We will study the relation between employee benefits satisfaction and three variables about job satisfaction: intrinsic, extrinsic and overall. We will use Microsoft Excel to do the regression analysis and to make the required graphs.
Introduction
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We will study the relation between employee benefits satisfaction and three variables about job satisfaction: intrinsic, extrinsic and overall. Microsoft Excel was used to do the regression analyses and make the graphs. We will find different correlations and different signifances, then we will do a summary with conclusions
Benefits and Intrinsic Job Satisfaction
Regression output from Excel
Copy and paste the results of the regression analysis from Excel using Intrinsic as the dependent variable and Benefits as the independent variable here:
[pic]
Graph
Copy and paste the graph including the trend line. Be sure that you have labeled your graph correctly.
[pic]
Benefits and Extrinsic Job Satisfaction
Regression output from Excel
Copy and paste the results of the regression analysis from Excel using Extrinsic as the dependent variable and Benefits as the independent variable here:
[pic]
Graph
Copy and paste the graph including the trend line. Be sure that you have labeled your graph correctly.
[pic]
Benefits and Overall Job Satisfaction
Regression output from Excel
Copy and paste the results of the regression analysis from Excel using Overall Job Satisfaction as the dependent variable and Benefits as the independent variable here:
[pic]
Graph
Copy and paste the graph including the trend line. Be sure that you have labeled your graph correctly.
[pic]
Key components of the regression analysis
Complete the following chart to identify key components of each regression output.
|Dependent Variable |Slope |Y-intercept |Equation |[pic] |
|Intrinsic |0.006 |5.0749 |Y=0.006x+5.0749 |0.0003 |
|Extrinsic |-0.2329 |6.5035 |Y=-0.2329x+6.5035 |0.3947 |
|Overall |-0.0899 |5.497 |Y=-0.0899x+5.497 |0.0254 |
Similarities and Differences
Identify at least one similarity and one difference from the regression outputs or graphs above.
Answer:
Similarities: y-intercepts are similar in the 3 graphs above , R-square for Intrinsic an
Overall are similar.
Differences: significance levels (p-values) are different,(0.86, 2.13x10-12,0.113)
(Great,low and moderate) values. Also slopes have different signs and (Extrinsic and
Overall are negative while Intrinsic is positive)
Correlation coefficients
Identify the strongest correlation coefficient between the three outputs above and explain why that is the strongest. What does it mean to a manager?
Answer:
Correlation coefficients:
Benefits-Intrinsec: 0.0183
Benefits-Extrinsic: -0.6283 (strongest)
Benefits-Overall: -0.1595
-0.6283 is the strongest value because its absolute value is greater
It means that Extrinsic variable is the most correlated with the Benefits
The manager can say that if we increase the benefits we can expect a decrease in Extrinsic Job Satisfaction. (correlation coefficient is negative and significance is high)
Conclusion
From the 3 regressions done the most important results (greatest correlation and significance) are from Benefits-Extrinsic. We can observe that if we increase the benefits we can expect a decrease in Extrinsic Job Satisfaction.
For the rest of the regressions conclusions are not clear since correlations and significance levels are not high.
References
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American Psychological Association [APA]. (2010) Publication manual of the American
Psychological association (6th ed.). Washington, DC: Author.
Association of Legal Writing Directors (ALWD) (2005). ALWD citation manual: A professional
system of citation (3rd ed.). New York: Aspen Publishers.
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