Here are the sample questions which will help you be familiar with SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling (A00-240) exam style and structure. We encourage you to try our **Demo SAS Statistical Business Analyst Certification Practice Exam** to measure your understanding of exam structure in an environment which simulates the SAS Certified Statistical Business Analyst - Regression and Modeling Certification test environment.

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## SAS A00-240 Sample Questions:

**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)**nonmonotonic association between the variables

**b)**linear association between the variables

**c)**monotonic association between the variables

**d)**no association between the variables

**02. Refer to the REG procedure output:**

**What is the most important predictor of the response variable?**

**a)**intercept

**b)**overhead

**c)**scrap

**d)**raining

**03. 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)**DF increased.

**b)**AIC increased.

**c)**Pr > Chisq increased.

**d)**- 2 Log L increased.

**04. A linear model has the following characteristics:**

**Which SAS program fits this model?**

**a)**proc glm data=SASUSER.MLR;

**b)**proc reg data=SASUSER.MLR;

**c)**proc glm data=SASUSER.MLR;

**d)**proc reg data=SASUSER.MLR;

**05. Which statement is an assumption of logistic regression?**

**a)**The sample size is greater than 100.

**b)**The logit is a linear function of the predictors.

**c)**The predictor variables are not correlated.

**d)**The errors are normally distributed.

**06. 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)**This accuracy rate is redundant with the misclassification rate.

**b)**It is pessimistically biased since it is calculated from the data set used to train the model.

**c)**This accuracy rate is redundant with the average squared error.

**d)**It is optimistically biased since it is calculated from the data used to train the model.

**07. Refer to the exhibit:**

**For the ROC curve shown, what is the meaning of the area under the curve?**

**a)**percent concordant plus percent tied

**b)**percent concordant plus (.5 * percent tied)

**c)**percent concordant plus (.5 * percent discordant)

**d)**percent discordant plus percent tied

**08. 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)**lsmeans Region / pdiff=all adjust=dunnett;

**b)**lsmeans Region / pdiff=all adjust=tukey;

**c)**lsmeans Region / pdiff=all adjust=lsd;

**d)**lsmeans Region / pdiff=all adjust=none;

**09. The LOGISTIC procedure will be used to perform a regression analysis on a data set with a total of 10,000 records. A single input variable contains 30% missing records.**

**How many total records will be used by PROC LOGISTIC for the regression analysis?**

**a)**7000

**b)**9000

**c)**7009

**d)**9007

**10. A financial analyst wants to know whether assets in portfolio A are more risky (have higher variance) than those in portfolio B.**

**The analyst computes the annual returns (or percent changes) for assets within each of the two groups and obtains the following output from the GLM procedure:**

**Which conclusion is supported by the output?**

**a)**Assets in portfolio A are significantly more risky than assets in portfolio B.

**b)**Assets in portfolio B are significantly more risky than assets in portfolio A.

**c)**The portfolios differ significantly with respect to risk.

**d)**The portfolios do not differ significantly with respect to risk.

## Answers:

Question: 1 | Answer: a | Question: 2 | Answer: b |

Question: 3 | Answer: d | Question: 4 | Answer: c |

Question: 5 | Answer: b | Question: 6 | Answer: d |

Question: 7 | Answer: b | Question: 8 | Answer: b |

Question: 9 | Answer: a | Question: 10 | Answer: c |

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