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NEW QUESTION # 99
Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.
- A. y = b0 + b1X1 + b2X2 + b3(X1X2)
- B. y = b0 + b1X1 + b2X2
- C. y = b0 + b1X1 + b2X1 3
- D. y = b0 + b1X1 + (b2/b1)X2
Answer: D
NEW QUESTION # 100
Refer to the exhibit from a linear regression model in SAS Visual Statistics:
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A. The Intercept is an important predictor of the response.
- B. For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443. - C. For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
- D. Age is a significant predictor of the response.
Answer: B
NEW QUESTION # 101
What are some features of model comparison in SAS Visual Statistics?
- A. Evaluating model stability over time
- B. Comparing the performance of different models
- C. Identifying the best model based on a single metric
- D. Assessing the impact of predictor variables on model outcomes
Answer: B,C
NEW QUESTION # 102
How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?
- A. By applying the link function to the linear predictor
- B. By calculating the mean of the predictor variables
- C. By summing the residuals of the model
- D. By fitting a linear regression model to the data
Answer: A
NEW QUESTION # 103
In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?
- A. To calculate the p-values of predictor variables
- B. To determine the order of predictor variables in the model
- C. To verify if the chosen model assumptions are met and make adjustments if necessary
- D. To ensure that predictor variables are not highly correlated
Answer: C
NEW QUESTION # 104
When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?
- A. Dragging and dropping the score code file into the project
- B. Opening the code file and manually executing it
- C. Converting the code to a macro for automation
- D. Running a SQL query to generate predictions
Answer: A,B
NEW QUESTION # 105
When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?
- A. BIC (Bayesian Information Criterion)
- B. R-squared value
- C. AIC (Akaike Information Criterion)
- D. p-value for the group-by variable
Answer: A,B,C
NEW QUESTION # 106
What is the primary purpose of concordance statistics in model comparison?
- A. To calculate the p-values of predictor variables
- B. To assess the multicollinearity among predictors
- C. To measure the balance between sensitivity and specificity
- D. To evaluate the relationship between two predictor variables
Answer: C
NEW QUESTION # 107
When interpreting comparison results using the Assessment panel, what information can be obtained?
- A. The number of iterations performed by each model
- B. The relationship between two predictor variables
- C. Model performance metrics, such as AUC and KS Statistic
- D. The distribution of predictor variables
Answer: C
NEW QUESTION # 108
Refer to the exhibits:
An analyst is evaluating which model to use.
What changed from Comparison 1 to Comparison 2 to select a different champion model?
- A. Analyst clicked on Model 2 to highlight it
- B. Percentile changed from 5th percentile to 40th percentile
- C. Misclassification was used instead of Cumulative Lift
- D. Prediction Cutoff reduced from .5 to .19
Answer: B
NEW QUESTION # 109
Which statement is true about Decision Trees in SAS Visual Statistics
- A. Decision trees can be used for classification and estimation.
- B. Decision trees cannot handle continuous dependent variables.
- C. Decision trees cannot handle missing values.
- D. Decision trees can be used for outlier detection.
Answer: A
NEW QUESTION # 110
Refer to the exhibit:
Which option was not specified in creating the linear regression model using SAS Visual Statistics?
- A. group-by variable
- B. continuous effects
- C. interaction term
- D. variable selection
Answer: A
NEW QUESTION # 111
Which of the following criteria are commonly used for pruning a decision tree?
- A. Maximum leaf nodes
- B. Maximum depth
- C. Minimum split count
- D. Maximum tree height
Answer: A,B,C
NEW QUESTION # 112
Refer to the exhibit:
Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)
- A. Decision Tree model would be selected at lift=20
- B. Logistic Regression model would be selected at lift=5
- C. Logistic Regression model would be selected at lift=20
- D. Decision Tree model would be selected at lift=5
Answer: A,B
NEW QUESTION # 113
When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?
- A. At least two variables are required.
- B. Interaction items are allowed.
- C. A target variable is required.
- D. Category items are not allowed.
Answer: A
NEW QUESTION # 114
Refer to the following exhibit:
After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?
- A. Use the leaf ID to identify clusters.
- B. Use the leaf ID to identify the most important variables.
- C. Use the leaf ID to rank order by posterior probabilities.
- D. Use the leaf ID data item in filters in other types of visualizations.
Answer: D
NEW QUESTION # 115
Which of the following are common distributions used in generalized linear models?
- A. Poisson
- B. Normal
- C. Exponential
- D. Logistic
Answer: A,B,D
NEW QUESTION # 116
Explain what an icicle plot represents in decision tree analysis.
- A. It shows the feature importance for each variable in the tree.
- B. It summarizes the performance metrics of the decision tree.
- C. It displays the hierarchical structure of the decision tree.
- D. It visualizes the distribution of data points in each leaf node.
Answer: A,C
NEW QUESTION # 117
How is the KS Statistic typically used when interpreting an ROC chart?
- A. To assess the balance between sensitivity and specificity
- B. To evaluate the overall performance of a classification model
- C. To measure the area under the ROC curve
- D. To identify the optimal prediction cut-off threshold
Answer: A
NEW QUESTION # 118
What information is conveyed by a Summary bar in model assessment?
- A. The distribution of residuals in the model
- B. The summary statistics of the response variable
- C. The performance metrics of the model, such as AUC and KS Statistic
- D. The standard deviation of the predictor variables
Answer: C
NEW QUESTION # 119
You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?
- A. Observations with a value of 1 will be used as Training data.
- B. No partition will be used because there are more than two levels.
- C. Observations with a value of 0 will be used as Training data.
- D. Observations with a value of 2 will be used as Training data.
Answer: A
NEW QUESTION # 120
What is one advantage of using SAS Studio to score new data with exported score code?
- A. It allows for direct integration with Hadoop clusters.
- B. It automatically optimizes the scoring process.
- C. It provides advanced visualization capabilities.
- D. It requires no additional software installation.
Answer: D
NEW QUESTION # 121
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