Maximum Grades By Making ready With A00-240 Dumps UPDATED 2025
Prepare A00-240 Exam Questions [2025] Recently Updated Questions
SASInstitute A00-240 certification exam is designed for individuals who wish to demonstrate their knowledge and skills as a statistical business analyst using SAS 9. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification is focused on regression and modeling techniques, and successful candidates are expected to have a deep understanding of statistical concepts and methodologies.
NEW QUESTION # 35
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
- A. Simple random sampling without replacement
- B. Stratified random sampling without replacement
- C. Sequential random sampling with replacement
- D. Simple random sampling with replacement
Answer: A,B
NEW QUESTION # 36
The standard form of a linear regression model is:
Which statement best summarizes the assumptions placed on the errors?
- A. The errors are correlated, normally distributed with constant mean and zero variance.
- B. The errors are independent, normally distributed with zero mean and constant variance.
- C. The errors are correlated, normally distributed with zero mean and constant variance.
- D. The errors are independent, normally distributed with constant mean and zero variance.
Answer: B
NEW QUESTION # 37
One common approach for predicting rare events in the LOGISTIC procedure is to build a model that
disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event
split).
What problem does this present?
- A. Only the intercept estimate is biased.
- B. Sensitivity estimates are biased.
- C. All parameter estimates are biased.
- D. Only the non-intercept parameter estimates are biased.
Answer: A
NEW QUESTION # 38
A company has branch offices in eight regions. Customers within each region are classified as either "High
Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total
amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?
- A. More high value customers are found in some regions than others.
- B. Regions with higher average purchases have more medium value customers.
- C. Regions with higher average purchases have more high value customers.
- D. The difference between average purchases for medium and high value customers depends on the
region.
Answer: D
NEW QUESTION # 39
There are missing values in the input variables for a regression application.
Which SAS procedure provides a viable solution?
- A. GLM
- B. VARCLUS
- C. CLUSTER
- D. STDI2E
Answer: D
NEW QUESTION # 40
Refer to the exhibit:
SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the exhibit, which statement is true?
- A. The R-Square champion model is the most parsimonious.
- B. The SBC champion model is more parsimonious than the AIC champion.
- C. The AIC champion model is more parsimonious than the SBC champion.
- D. Adjusted R-Square and R-Square agree on the champion model.
Answer: B
NEW QUESTION # 41
Refer to the exhibit:
The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and
78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
- A. Model B. It is simpler with a higher accuracy than model A on validation data.
- B. Model A. It performs better on the boundary for the training data.
- C. Model B. It is more complex with a higher accuracy than model A on validation data.
- D. Model A. It is more complex with a higher accuracy than model B on training data.
Answer: A
NEW QUESTION # 42
When mean imputation is performed on data after the data is partitioned for honest assessment, what is
the most appropriate method for handling the mean imputation?
- A. The sample means from the training data set are applied to the validation and test data sets.
- B. The sample means from each partition of the data are applied to their own partition.
- C. The sample means from the validation data set are applied to the training and test data sets.
- D. The sample means from the test data set are applied to the training and validation data sets.
Answer: A
NEW QUESTION # 43
Given the following GLM procedure output:
Which statement is correct at an alpha level of 0.05?
- A. Gender should not be removed due to its involvement in the significant interaction.
- B. School*Gender should be removed because it is non-significant.
- C. School should be removed because it is significant.
- D. Gender should be removed because it is non-significant.
Answer: A
NEW QUESTION # 44
Refer to the following exhibit:
What is a correct interpretation of this graph?
- A. The association between the continuous predictor and the log-odds is quadratic.
- B. The association between the continuous predictor and the binary response is quadratic.
- C. The association between the continuous predictor and the continuous response is quadratic.
- D. The association between the binary predictor and the log-odds is quadratic.
Answer: A
NEW QUESTION # 45
This question will ask you to provide a missing option. Given the following SAS program:
What option must be added to the program to obtain a data set containing Pearson statistics?
- A. OUTCORR=estimates
- B. OUTP=estimates
- C. OUTPUT=estimates
- D. OUTSTAT=estimates
Answer: B
NEW QUESTION # 46
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
- A. Training: 100% Validation: 0% Testing: 0%
- B. Training: 0% Validation: 100% Testing: 0%
- C. Training: 50% Validation: 50% Testing: 0%
- D. Training: 50% Validation: 0% Testing: 50%
Answer: C
NEW QUESTION # 47
What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?
- A. It is computationally easier and requires less time.
- B. It allows for the determination of the effectiveness of the cleansing method.
- C. It omits the training (and test) data sets from the benefits of the cleansing methods.
- D. It makes inference on the model possible.
Answer: B
NEW QUESTION # 48
Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
- A. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.
- B. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
- C. The probability of the event is 1.142 greater for each one dollar increase in salary.
- D. The odds of the event are 1.142 greater for each one dollar increase in salary.
Answer: B
NEW QUESTION # 49
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?
- A. Select model 43
- B. Select model 21
- C. Select model 45
- D. Select model 46
Answer: A
NEW QUESTION # 50
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by
investigating the association between which function of the input variables?
- A. Logit link (log (p/1-p))
- B. Concordant and discordant pairs of ranked observations
- C. Rank-ordered values of the variables
- D. Weighted sum of chi-square statistics for 2x2 tables
Answer: C
NEW QUESTION # 51
Refer to the confusion matrix:
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome)
Click the calculator button to display a calculator if needed.
- A. 25/B9
- B. 58/102
- C. 25/48
- D. 58/81
Answer: C
NEW QUESTION # 52
......
The SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential, also known as the A00-240 exam, is designed to test the knowledge and skills of candidates in statistical analysis, regression modeling, and data visualization using SAS software. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification is offered by the SAS Institute, a leading provider of business analytics software and services, and is recognized as a valuable credential in the field of data analytics.
Give push to your success with A00-240 exam questions: https://www.vceprep.com/A00-240-latest-vce-prep.html