SASInstitute A00-240 Reliable Exam Papers & New A00-240 Exam Objectives

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| Section | Objectives |
|---|
| ANOVA and General Linear Models | - One-way and multi-way ANOVA - GLM procedures in SAS
|
| Simple Linear Regression | - Residual analysis - Estimation and inference - Model assumptions and interpretation
|
| Model Diagnostics and Validation | - Influence and leverage - Goodness-of-fit measures
|
| Logistic Regression | - Model fit and diagnostics - Binary logistic regression
|
| Multiple Regression | - Interaction effects - Multicollinearity diagnostics - Model building and selection
|
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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q73-Q78):
NEW QUESTION # 73
What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?
- A. There is no ability to compare the effectiveness of different cleansing methods.
- B. It violates assumptions of the model.
- C. It omits the training (and test) data sets from the benefits of the cleansing methods.
- D. It requires extra computational effort and time.
Answer: A
NEW QUESTION # 74
The Model SS in a multiple linear regression model is equal to:
- A. the sum of Type I SS of all model terms
- B. the sum of SSE and MSE
- C. the total SS- MSE
- D. the sum of Type II SS of all model terms
Answer: A
Explanation:
Explanation/Reference: http://core.ecu.edu/psyc/wuenschk/SAS/SS1234.pdf
NEW QUESTION # 75
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 dollar increase in salary.
- B. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.
- C. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
- D. The odds of the event are 1.142 greater for each one dollar increase in salary.
Answer: C
NEW QUESTION # 76
Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?
- A. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
- B. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
- C. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
- D. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
Answer: D
NEW QUESTION # 77
What is the default method in the LOGISTIC procedure to handle observations with missing data?
- A. Parameter estimates are made on all available data.
- B. Missing values are imputed.
- C. Parameters are estimated accounting for the missing values.
- D. Only cases with variables that are fully populated are used.
Answer: D
NEW QUESTION # 78
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