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SAS Certified BI Content Developer for SAS 9 and Business Analytics Questions and Answer (Dumps and Practice Questions)



Question : Select the equivalent LOGISTIC procedure model statements.
A. Mode1 Purchase * Gender Age Region;
B. Mode1 Purchase * Gender | Age | Region;
C. Mode1 Purchase * Gender|Age|Region @1;
D. Mode1 Purchase * Gender|Age|Region @2;

: Select the equivalent LOGISTIC procedure model statements.
1. A,B
2. A,C
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4. B,D

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Question : Given the following LOGISTIC procedure:
What is the difference between the datasets OUTFILE_1 and OUTFILE_2?
: Given the following LOGISTIC procedure:
1. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities
2. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
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4. OUTFILE_1 contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

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The PROC LOGISTIC statement invokes the LOGISTIC procedure and optionally identifies input and output data sets, suppresses the display of results, and controls the ordering of the response levels

The SCORE statement creates a data set that contains all the data in the DATA= data set together with posterior probabilities and, optionally, prediction confidence intervals. Fit statistics are displayed on request. If you have binary response data, the SCORE statement can be used to create a data set containing data for the ROC curve. You can specify several SCORE statements. FREQ, WEIGHT, and BY statements can be used with the SCORE statements. The SCORE statement is not available with the STRATA statement.
If a SCORE statement is specified in the same run as fitting the model, FORMAT statements should be specified after the SCORE statement in order for the formats to apply to all theDATA= and PRIOR= data sets in the SCORE statement.





Question : 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?
: The following LOGISTIC procedure output analyzes the relationship between a binary response
1. 0.0819
2. 0.5663
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4. -1.0415

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Explanation:




Related Questions

Question : Refer to the REG procedure output:
The Intercept estimate is interpreted as:
 : Refer to the REG procedure output:
1. The predicted value of the response when all the predictors are at their current values.
2. The predicted value of the response when all predictors are at their means.
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4. The predicted value of the response when all predictors are at their minimum values.


Question : A linear model has the following characteristics:
A dependent variable (y)
Three continuous predictor variables (x1-x3)
One categorical predictor variable (c1with 3 levels)
Which SAS program fits this model?

 : A linear model has the following characteristics:
1. A
2. B
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4. D


Question : Which SAS program will detect collinearity in a multiple regression application?
 : Which SAS program will detect collinearity in a multiple regression application?
1. A
2. B
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4. D


Question : Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
 : Refer to the following odds ratio table:
1. The odds of the event are 1.142 greater for each one dollar increase in salary.
2. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
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4. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.


Question : Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
 : Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
1. Use the SCORE statement in the LOGISTIC procedure.
2. Augment the training data set with new observations and set their responses to missing.
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4. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.


Question : Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?

 : Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
1. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.
2. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.
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4. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.