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Last Update 18 hours ago Total Questions : 99
The SAS Statistical Business Analysis SAS9: Regression and Model content is now fully updated, with all current exam questions added 18 hours ago. Deciding to include A00-240 practice exam questions in your study plan goes far beyond basic test preparation.
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A linear model has the following characteristics:
A dependent variable (y)
Three continuous predictor variables (x1-x3)
One categorical predictor variable (c1 with 3 levels)
Which SAS program fits this model?
Given the following output from the LOGISTIC procedure:
Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?
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?
Refer to the REG procedure output:
The Intercept estimate is interpreted as:
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.
Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
Refer to the confusion matrix:
An analyst determines that loan defaults occur at the rate of 3% in the overall population. The above confusion matrix is from an oversampled test set (1 = default).
What is the sensitivity adjusted for the population event probability?
Enter your answer in the space below. Round to three decimals (example: n.nnn).
The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.
What is the estimated logit for a person with large wrist size?
Click the calculator button to display a calculator if needed.
