Question 31
The PROC LOGISTIC options SELECTION=SCOREand BEST=2are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.
The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43.
If you base model selection solely on overall average profit, what is the correct choice?
Question 32
Given the following GLM procedure output:
Which statement is correct at an alpha level of 0.05?
Question 33
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)
Question 34
Refer to the REG procedure output:
The Intercept estimate is interpreted as:
Question 35
A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.