Q75. In SAS Visual Analytics, what is the purpose of creating an aggregated measure?

Q76. When examining the summary table for group-by processing, what information can you find?

Q77. When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?

Q78. When interpreting an Influence plot, what does it typically show?

Q79. What does the Variable Importance feature help with when choosing the best fitting group-by model?

Q80. How can you interpret a Parallel Coordinates plot in cluster analysis?

Q81. What information is conveyed by a Summary bar in model assessment?

Q82. Which statement is true for the Informative Missingness property in SAS Visual Statistics?

Q83. Refer to the exhibit:

An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?

Q84. You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?

Q85. You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?

Q86. What does the interactive group-by feature in SAS Visual Analytics allow you to do?

Q87. Refer to the Parallel Coordinates Plot shown on the Exhibit.

Which two statements about cluster 0 in the Parallel Coordinates Plot are correct? (Choose two.)

Q88. In logistic regression modeling, how is the probability of an event typically estimated?

Q89. What roles can be assigned to variables in logistic regression?

Q90. What are the essentials of logistic regression?

Q91. Which statement is true about performing regressions in SAS Visual Statistics?

Q92. Refer to the exhibit:

Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?

Q93. What is the primary purpose of modeling effects in linear regression?

Q94. How are split points determined in a decision tree?

Q95. Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.

Q96. How does SAS Data Integration Studio facilitate scoring new data using exported score code?

Q97. Which of the following are common distributions used in generalized linear models?