An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:
Answer : A
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.)
Answer : BC
Including redundant input variables in a regression model can:
Answer : B
An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model.
The analyst discovers that the probability of purchasing a certain item when Region = A is 1.
What problem does this illustrate?
Answer : C
Refer to the following exhibit:
Answer : B
This question will ask you to provide a missing option. Given the following SAS program:
Answer : B
A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)
Answer : CD
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?
Answer : C
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
Answer : A
The standard form of a linear regression model is:
Answer : D
Refer to the REG procedure output:
Answer : A
Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).
Answer : B
Refer to the REG procedure output:
Answer : C
The selection criterion used in the forward selection method in the REG procedure is:
Answer : B
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?
Answer : B
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