5. Consider the variable happy_bin, which is a binary variable indicating whether or not a respondent reported an overall sense of happiness with their life.

1. Identify four plausible explanatory variables, and provide a hypothesis as to their likely relationship with a respondent’s happiness.
2. Undertake a suitable statistical analysis to test the relationships between your chosen explanatory variables and a respondent’s happiness. You can recode your explanatory variables as needed, and use any statistical technique covered in the course. Remember to consider issues of causal complexity as appropriate when choosing your statistical techniques.
3. Briefly explain your approach to the analysis and comment on your findings (remember to include appropriate statistical output to support the points you make). This answer should take a maximum of 3 sides of A4.

3. Using a minimum of three independent variables run a linear regression model with a country’s Infant Mortality Rate (IMRate) as the dependent variable. Provide a brief report on the modelling process you undertook and the findings of your model. This should cover:-

1. For each independent variable you chose to include in your model, a hypothesis as to the relationship you expect it to have with infant mortality, giving a brief reason to support your expectation.
2. Any transformations you applied to specific variables
3. A table summarising your model
4. Any diagnostic tests you conducted and what they say about your model
5. A discussion of the substantive meaning of your results. This answer should take a maximum of 3 sides of A4.

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Solution: The downloadable solution consists of 9 pages, 1062 words and 10 charts.
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