Answered You can hire a professional tutor to get the answer.

# Use the Q7 dataframe. You want a 'good' model predicting Wins from all variables (without interactions).

Use the Q7 dataframe. You want a 'good' model predicting Wins from all variables (without

interactions). Perform the 'all possible' approach, which produces a list of models with

whose AICs are within 4 of the overall lowest AIC of all considered models.

Identify the predictors in the model with the FEWEST predictors (it

could be the case your list has only one model). Redo

the 'all possible' approach considering just those predictors ALONG WITH all two-way

interactions between them to produce yet another list of models (your list might only have one).

Report the AIC of the model at the top of this list, i.e., the one with the lowest AIC.

Note: do not add ANY extra arguments (e.g., nbest or nvmax) to any of the commands.