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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q84-Q89):
NEW QUESTION # 84
In linear regression, what does the coefficient of determination (R-squared) measure?
- A. The goodness of fit of the model to the data
- B. The p-value associated with the intercept term
- C. The impact of outliers on the model
- D. The degree of multicollinearity among predictors
Answer: A
NEW QUESTION # 85
When should you replace dirty data with missing values in SAS Visual Analytics?
- A. When the data is incorrect or invalid
- B. When you want to create a new variable
- C. When the data contains outliers
- D. When you want to remove missing values
Answer: A
NEW QUESTION # 86
Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?
- A. It will delete all observations that do not match your region.
- B. It will have no effect on any observations in the dataset.
- C. It will suppress all observations that do not match your region.
- D. It will suppress all observations that do not match their corresponding region.
Answer: B
NEW QUESTION # 87
Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?
- A. Unsupervised learning
- B. Supervised learning
- C. Semi-supervised learning
- D. Reinforcement learning
Answer: A
NEW QUESTION # 88
How is the KS Statistic typically used when interpreting an ROC chart?
- A. To measure the area under the ROC curve
- B. To assess the balance between sensitivity and specificity
- C. To evaluate the overall performance of a classification model
- D. To identify the optimal prediction cut-off threshold
Answer: B
NEW QUESTION # 89
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