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NEW QUESTION 24
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.
- A. 0.5663
- B. 0.0819
- C. -1.0415
- D. -3.7727
Answer: C
NEW QUESTION 25
Refer to the exhibit: The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
- A. Model B, It is more complex with a higher accuracy than model A on validation data.
- B. Model A, It is more complex with a higher accuracy than model B on training data.
- C. Model B, It is simpler with a higher accuracy than model A on validation data.
- D. Model A, It performs better on the boundary for the training data.
Answer: C
NEW QUESTION 26
Refer to the exhibit.
Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?
- A. Collinearity is not a problem since all Pr>|t| values are less than 0.05.
- B. Collinearity is not a problem since all variance inflation values are less than 10.
- C. Collinearity is a problem since all Pr>|t| values are less than 0.05.
- D. Collinearity is a problem since all variance inflation values are less than 10.
Answer: A
Explanation:
Explanation/Reference: https://www.researchgate.net/post/
Multicollinearity_issues_is_a_value_less_than_10_acceptable_for_VIF
NEW QUESTION 27
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