Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
A. Medium wrist size is significantly different than small wrist size.
B. Large wrist size is significantly different than medium wrist size.
C. Large wrist size is significantly different than small wrist size.
D. There is no significant difference due to wrist size.
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
A. An increase in R-Square
B. A decrease in R-Square
C. A decrease in Mean Square Error
D. No change in R-Square
Refer to the REG procedure output:
Click on the calculator button to display a calculator if needed.
A. 0.4115
B. 0.6994
C. 0.5884
D. 0.1372
Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).
A. Option A
B. Option B
C. Option C
D. Option D
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?
A. Option A
B. Option B
C. Option C
D. Option D
Refer to the REG procedure output:
The Intercept estimate is interpreted as:
A. The predicted value of the response when all the predictors are at their current values.
B. The predicted value of the response when all predictors are at their means.
C. The predicted value of the response when all predictors = 0.
D. The predicted value of the response when all predictors are at their minimum values.
Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
A. Use the SCORE statement in the LOGISTIC procedure.
B. Augment the training data set with new observations and set their responses to missing.
C. Augment the training data set with new observations and rerun the LOGISTIC procedure.
D. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.
Given the following LOGISTIC procedure:
What is the difference between the datasets OUTFILEJ and OUTFILE_2?
A. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
B. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
C. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
D. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split). What problem does this present?
A. All parameter estimates are biased.
B. Only the intercept estimate is biased.
C. Only the non-intercept parameter estimates are biased.
D. Sensitivity estimates are biased.
Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?
A. KS
B. SBC
C. Max EDF
D. Brier Score