2018-10-31T12:19:48+00:00

Chi-Square, ANOVA and Regression Analysis

This paper concentrates on the primary theme of Chi-Square, ANOVA and Regression Analysis in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 79. For more details and full access to the paper, please refer to the site.

Chi-Square, ANOVA and Regression Analysis

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Phase III, IV & V Chi-Square, ANOVA & Regression Analysis

III. In this phase you will investigate the relationship between a respondent`s view (Interest) of the recent move and his/her demographic characteristics:
1. Run Chi-Square analyses between a respondent`s view (Interest) and the respondent`s demographic characteristics (Position, Income, Education, Commute and Gender). Recommend collapsing rows and columns when necessary. Use an alpha of 0.05
2. Refer to the dataset attached.

IV. In this phase you will investigate the relationship between stress level and demographic characteristics (including employees` views with regard to the company`s recent move):
1. State the appropriate Research questions and hypothesis
2. Perform the appropriate statistical analysis
3. A brief statement of your findings
4. This phase requires running ANOVAs as described above. Use alpha of 0.05

V. Regression Analysis
In this final phase, you will investigate the relationship between job satisfaction and stress.
1. Describe the relationship between job satisfaction and stress
2. Can you mathematically predict a person`s job satisfaction based on their stress level? Give an illustration, assuming that a respondent has a stress level of 20.
3. How reliable is this prediction (consider P-value, r, and R-squared)?


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