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A00-240 : SAS Statistical Business Analysis SAS9: Regression and Model Exam
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SAS Statistical Business Analysis SAS9: Regression and Model
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Question #87
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 cleansing prior to partitioning the data?
It makes inference on the model possible. It is computationally easier and requires less time. It omits the training (and test) data sets from the benefits of the cleansing methods. It allows for the determination of the effectiveness of the cleansing method. 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 to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry. start = 5 FILL BLANK - Refer to the confusion matrix: Enter your answer in the space below. Round to three decimals (example: n.nnn). Question #90 Refer to the exhibit: On the Gains Chart, what is the correct interpretation of the horizontal reference line? the proportion of cases that cannot be classified Refer to the confusion matrix: Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome) Accuracy = 58/102, Error Rate = 23/48 Accuracy = 83/102, Error Rate = 67/102 Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF? KS https://support.sas.com/documentation/onlinedoc/ets/132/severity.pdf Question #93 DRAG DROP - Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right. Select and Place: Answer: Question #94 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. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels. What is the correct application of Greenacre's method in this situation? Clustering the levels using the target proportion for each zip_code as input. Clustering the levels using the zip_code values as input. Clustering the levels using the number of cases in each zip_code as input. Clustering the levels using dummy coded zip_code levels as inputs. https://support.sas.com/resources/papers/proceedings/proceedings/sugi31/079-31.pdf Question #95 What does the Pearson product moment correlation coefficient measure? nonlinear and nonmonotonic association between two variables linear and monotonic association between two variables http://d-scholarship.pitt.edu/8056/1/Chokns_etd2010.pdf Question #96 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. Which segment of code would complete the task? A. This question will ask you to provide a missing option. Given the following SAS program: What option must be added to the program to obtain a data set containing Spearman statistics? OUTCORR=estimates 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 viewing the regression equation parameter estimates for each of the design variables. Which option completes the program to produce the regression equation parameter estimates? Solve https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_ods_examples06.htm&docsetVersion=14.3&locale=en Question #99 After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all others and wants to control for experimentwise error. Which GLM procedure statement would provide the most appropriate output? lsmeans Income / pdiff=control adjust=dunnett; lsmeans Income / pdiff=control adjust=t; https://rpubs.com/JsoLab/Stat01_L02 Question #100 SIMULATION - A linear model has the following characteristics: *A dependent variable (y) *One continuous variable (xl), including a quadratic term (x12) *One categorical (d with 3 levels) predictor variable and an interaction term (d by x1) How many parameters, including the intercept, are associated with this model? Enter your numeric answer in the space below. Do not add leading or trailing spaces to your answer.
Answer: D Question #88
Answer: C Question #89
Answer: 0.617
Answer: B Question #91
Answer: A Question #92
Answer: A Reference:
Answer: A Reference:
Answer: B Reference:
Answer: C Question #97
Answer: D Question #98
Answer: C Reference:
Answer: A Reference:
Answer: 7
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