SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential 試験
Question No : 1
Refer to the following exhibit:
What is a correct interpretation of this graph?
Question No : 2
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?
Question No : 3
Including redundant input variables in a regression model can:
Question No : 4
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.)
Question No : 5
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:
What is the most likely reason that the model fails to converge?
Question No : 6
Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
Question No : 7
Screening for non-linearity in binary logistic regression can be achieved by visualizing:
Question No : 8
There are missing values in the input variables for a regression application.
Which SAS procedure provides a viable solution?
Question No : 9
Given the following GLM procedure output:
Which statement is correct at an alpha level of 0.05?
Question No : 10
An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
- Gender (M or F)
- Pay (dollars per year)
Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries? (Choose two.)
Question No : 11
Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
Question No : 12
Refer to the exhibit:
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
Question No : 13
Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company's pre-assigned market segments and tested for difference in the customers' average intent to purchase.
The following is the output from the GLM procedure:
What percentage of customers' intent to purchase is explained by market segment?
Click the calculator button to display a calculator if needed.
Question No : 14
Refer to the exhibit.
Based on the control plot, which conclusion is justified regarding the means of the response?
Question No : 15
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
means Region / <insert option here> =levene ;