Resources: https://we.tl/t-NgskBW8sNf

Case 8. Using the SPSS file Chapter 13 Data File B on the website, apply an appropriate test to determine whether there are significant no. of years in the job differences across the three levels of employee status. State and verify the necessary assumptions for the test, formulate relevant hypotheses, and fully interpret your results (including managerial implications).

Case 9. Using the SPSS file Chapter 12 Data File A on the website, run an appropriate regression analysis to predict the likelihood of a person being a smoker. As the explanatory variables, use gender, qualifications, age, self concept score, and days absent last year. State and verify the necessary assumptions for the regression analysis, formulate relevant hypotheses, and fully interpret your results (including managerial implications).

Case 10. Access SPSS Chapter 18 Data File A on the website and conduct a factor analysis of the following statements: q13, q14, and all statements from q39 to q48, where q13 = There is a lot of pressure on me as a student in this degree course, q14 = The workload is too heavy, q39 = I can always manage to solve difficult problems if I try hard enough, ... , q48 = I can handle whatever comes my way.

-State and verify the necessary assumptions for the analysis and fully interpret your results (including managerial implications).

-Save the REGR factor scores (you decide how many) and use them as explanatory variables in a regression model to predict a decision to quit university, measured by the statement I am likely to leave this university within the next twelve months. As other explanatory variables, use also gender, age, and the way I live. State and verify the necessary assumptions for the regression analysis, formulate relevant hypotheses, and fully interpret your results (including managerial implications).

Case 11. Using the SPSS file Chapter 13 Data File B on the website, perform a hierarchical cluster analysis of the data. As clustering variables, use (1) no. of years in the job, (2) employee training, and (3) baseline anxiety level. Profile the resulting clusters with the following variables: the three clustering variables (1-3), (4) smoke or not, and (5) self esteem. Perform all the relevant tests and fully interpret your results.