

1. Assuming a continuous explanatory variable on the xaxis and a binary proportion on the yaxis, which of the two curves would be most likely to reflect the relationship? 


2. Match the statistical term with the definition.


3. What does the loglikelihood represent? 


4. The following table of coefficients is the output of a logistic regression analysis which explores the factors underlying whether or not a student is deemed eligible for free school meals:How many explanatory variables are included in this model? 





6. It is approximately 8 times more likely that someone from the baseline SEC category ‘Routine, semiroutine or unemployed’ will be eligible for free school meals than someone from the category ‘Managerial & professional’. True or false (using the same table as before)? 


7. Below is a classification plot:Please tick the boxes for all statements which are true. 


8. The model was adjusted to explore a possible interaction between SEC and single parent family. The following output was generated:Is the interaction effect statistically significant? 


9. The line graph below shows the mean proportion of pupils eligible for free school meal (FSM) separately by maternal education and SEC.Please tick all statements which are true. 


10. The following output related to how well the ‘free school meals’ model fits the data (how accurately it classifies cases)Please tick all statements that apply. 


11. When might the assumption of ‘Independent Errors’ be at particular risk of being violated? 


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