真実的なA00-240関連受験参考書試験-試験の準備方法-素敵なA00-240テスト資料

A00-240学習資料の内容はすべて、SASInstitute長年にわたる試験の概要と業界の発展動向に基づいて、MogiExam業界の専門家によって編集されています。 A00-240試験ガイドは、単なるテスト問題のパッチワークではなく、独自のシステムと階層レベルを備えているため、ユーザーは効果的に改善できます。 A00-240学習資料には、さまざまな被験者の特性と範囲に応じて試験の専門家が作成したテストペーパーが含まれています。また、A00-240試験の質問で勉強すると、SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential試験に合格することになります。

SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Logistic Regression	25%	- Develop Logistic Models 1. Optimize model performance through input selection 2. Perform logistic regression using the LOGISTIC procedure - Interpret and Deploy Models 1. Interpret LOGISTIC procedure output 2. Score new data sets using LOGISTIC and PLM procedures
Prepare Inputs for Predictive Model Performance	20%	- Variable Engineering and Screening 1. Use empirical logit plots for nonlinearity detection 2. Improve predictive power of categorical variables 3. Identify nonlinear associations using CORR procedure 4. Screen variables for irrelevance - Data Preparation 1. Identify challenges in preparing model input data 2. Manipulate data using DATA step programming 3. Use loops, arrays, functions and conditional statements
Measure Model Performance	25%	- Performance Visualization 1. Create and interpret ROC charts 2. Create and interpret lift charts 3. Create and interpret gains charts - Decision Optimization 1. Evaluate scoring strategies 2. Establish effective decision cutoff values - Validation and Selection 1. Perform model validation using training and validation data 2. Compare and select predictive models - Model Assessment 1. Assess classifier performance using confusion matrices 2. Apply principles of honest assessment
Linear Regression	20%	- Interpret Regression Results 1. Evaluate parameter estimates 2. Interpret REG, PLM and GLM output - Model Selection and Diagnostics 1. Perform model selection using REG or GLMSELECT 2. Assess model validity 3. Conduct residual and diagnostic analysis - Build Regression Models 1. Fit multiple linear regression models 2. Use REG and GLM procedures
ANOVA	10%	- ANOVA Concepts and Assumptions 1. Identify appropriate ANOVA methods 2. Verify ANOVA assumptions - ANOVA Analysis 1. Analyze differences between population means using GLM and TTEST procedures 2. Perform post hoc tests 3. Detect and analyze factor interactions 4. Evaluate treatment effects

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MogiExam試験に合格できる人は、短時間で高給を獲得できます。試験に勝つことに決めた場合は、A00-240試験トレントを試す必要があります。そうすると、試験に簡単に合格できることがわかります。SASInstitute 学習教材としてA00-240準備トレントを使用する場合、試験の確認と準備に必要な時間と労力はほとんど必要ありません。ですから、A00-240学習準備を購入する価値があります。 A00-240トレーニングガイドの無料デモを提供して、購入前にA00-240試験問題を十分に理解できるようにします。

SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential 認定 A00-240 試験問題 (Q69-Q74):

質問 # 69
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?

A. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.
B. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.
C. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.
D. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.

正解：C

質問 # 70
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 AIC statistic, which model is the champion model?

A. Age Weight RunTime RunPulse MaxPulse
B. Age Weight RunTime RunPulse RestPulse MaxPulse
C. RunTime
D. RestPulse

正解：A

質問 # 71
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the
LOGISTIC procedure.
Which statement is true?

A. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same
output.
B. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both
predicted probabilities and predicted logits.
C. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the
SCORE procedure returns only predicted logits.
D. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE
procedure returns only predicted probabilities.

正解：C

質問 # 72
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 historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
-Target variable Respond (0,1) -Continuous predictor Income -Categorical predictor Homeowner(Y,N)
Which SAS program performs this analysis?

A. Option B
B. Option D
C. Option A
D. Option C

正解：C

質問 # 73
Refer to the exhibit:

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

A. Candidate 1, because the area outside the curve is greater
B. Candidate 2, because the area under the curve is greater
C. Candidate 1, because it is closer to the diagonal reference curve
D. Candidate 2, because it shows less over fit than Candidate 1

正解：B

質問 # 74
......

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