A00-240 Exam Questions

What is the difference between the datasets OUTFILE1 and OUTFILE_2?

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 s...

Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

Refer to the exhibit: [ROC Curve graph and table] An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed su...

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...

The question will ask you to provide a missing statement. Given the following SAS program: proc logistic data = MYDIR.DEFAULT_DATA des; model Purchase = Money Acct_type Debt Employ...

A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed b...

Which statistic calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign. The manager possesses a his...

Given the following output from the LOGISTIC procedure: Parameter DF Estimate Error Chi-Square Pr > ChiSq Estimate Intercept 1 0.1119 0.0304 24.8969 <.0001 - MBA 1 0.9699 0.0385 63...

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 dat...

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set c...

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

Refer to the exhibit: Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 reve...

A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?

This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-eve...

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building...

Screening for non-linearity in binary logistic regression can be achieved by visualizing:

The selection criterion used in the forward selection method in the REG procedure is:

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 s...

A marketing analyst assessed the effect of web page design (A, B, or C) on customers' intent to purchase an expensive product. The focus group was divided randomly into three sub-g...

Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis. Which statem...

The SAS data set RESULT contains the following variables: - Region (GrpA or GrpB) - Sales (dollars per year) Which SAS programs can be used to find the p-value for comparing GrpA s...

Refer to the exhibit. These graphs were created using the GLM procedure with the plots(only)=diagnostics option. Which plot do you use to identify influential observations?

PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward eli...

Refer to the exhibit. SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given. Based on the exhibit, which sta...

In a multiple linear regression model is equal to:

Which characteristic of Studentized residuals indicate potential outliers?

A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model. What will be the result?

Output from a multiple linear regression analysis is shown. What is the most appropriate statement concerning collinearity between the input variables?

Which SAS program will best identify influential observations in a multiple regression application?

FILL BLANK Refer to the REG procedure output: Calculate the coefficient of determination, R-Square. Enter your numeric answer in the space below. Round to 4 decimal places (example...

When working with smaller data sets (N<200), which method is preferred to perform honest assessment?

A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%. For...

The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43. If you base model selection solely on...

While building a predictive model, median imputations are performed while preparing the training data. How should the imputations be addressed in the validation data?

Refer to the exhibit: Which statement is true, based on the plots above?

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data clean...

A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry into the model. Th...

FILL BLANK Refer to the confusion matrix: Predicted Outcome 0 1 Actual Outcome 0 345 155 Actual Outcome 1 188 312 An analyst determines that loan defaults occur at the rate of 3% i...

Refer to the exhibit: [Image of PV+ vs depth chart on page 2] On the Gains Chart, what is the correct interpretation of the horizontal reference line?

Refer to the confusion matrix: Predicted Outcome 0 1 Actual Outcome 0 58 44 Actual Outcome 1 23 25 Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome...

Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

Drag and Drop Question Drag the adjustment formulas for oversampling from the left and place them into the correct location in the confusion matrix shown on the right.

An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model...

What does the Pearson product moment correlation coefficient measure?

This question will ask you to provide a segment of missing code. The following code is used to create missing value indicator variables for input variables, fred1 to fred7. ``` dat...

What option must be added to the program to obtain a data set containing Spearman statistics?

This question will ask you to provide a missing option. A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in vi...