1. Select a dependant variable from the dataset provided. Provide an academic discussion about why that variable is interesting. Approximately 150 words
2. Create a graph in R which shows that the variable graphically. You should choose either a histogram or a bar chart depending on the level of measurement of your dependent variable. In so doing you are expected to set an appropriate title, appropriate axis labels, as well as to set appropriate colours on the bars.
Required but does not add to wordcount
3. Present a hypothesis by introducing at least two independent variables that would make sense as predictors of your dependent variable, and discuss why you would expect them to be predictors. This hypothesis should reference and be supported by the wider literature.
Approximately 200 words
- Run a regression analysis that tests the hypothesis you set out in the previous section. In your reports you should show the regression model itself, as produced by R, along with the model coefficients, and the model evaluation statistics.
This model will use approximately 100 words of your count, and does count towards your overall total - Provide an interpretation of your regression model and the model coefficients in light of your hypotheses through an elaborated discussion. You are expected to comment on the regression b values, the significance of these values, and on the multiple r-square of the model.