# SAS A00-240 Sample Questions:

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### Quiz Questions

• 1.
01. An analyst is screening for irrelevant variables by estimating strength of association between each input and the target variable. The analyst is using Spearman correlation and Hoeffding's D statistics in the CORR procedure. What would likely cause some inputs to have a large Hoeffding and a near zero Spearman statistic?
• A.
a) nonmonotonic association between the variables
• B.
b) linear association between the variables
• C.
c) monotonic association between the variables
• D.
d) no association between the variables
• 2.
02. When selecting variables or effects using SELECTION=BACKWARD in the LOGISTIC procedure, the business analyst's model selection terminated at Step 3. What happened between Step 1 and Step 2?
• A.
a) DF increased.
• B.
b) AIC increased.
• C.
c) Pr > Chisq increased.
• D.
d) - 2 Log L increased
• 3.
03. Which statement is an assumption of logistic regression?
• A.
a) The sample size is greater than 100.
• B.
b) The logit is a linear function of the predictors.
• C.
c) The predictor variables are not correlated.
• D.
d) The errors are normally distributed.
• 4.
04. An analyst builds a logistic regression model which is 75% accurate at predicting the event of interest on the training data set. The analyst presents this accuracy rate to upper management as a measure of model assessment. What is the problem with presenting this measure of accuracy for model assessment?
• A.
a) This accuracy rate is redundant with the misclassification rate.
• B.
b) It is pessimistically biased since it is calculated from the data set used to train the model.
• C.
c) This accuracy rate is redundant with the average squared error.
• D.
d) It is optimistically biased since it is calculated from the data used to train the model.
• 5.
05. An analyst has determined that there exists a significant effect due to region. The analyst needs to make pairwise comparisons of all eight regions and wants to control the experimentwise error rate. Which GLM procedure statement would provide the correct output?
• A.
a) lsmeans Region / pdiff=all adjust=dunnett;
• B.
b) lsmeans Region / pdiff=all adjust=tukey;
• C.
c) lsmeans Region / pdiff=all adjust=lsd;
• D.
d) lsmeans Region / pdiff=all adjust=none;

• 1.
POOR
• 2.
GOOD
• 3.
VERY GOOD