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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q147-Q152):

NEW QUESTION # 147
What is the primary purpose of reviewing the residual plot in linear regression analysis?

A. To calculate the coefficient of determination (R-squared)
B. To determine the p-value associated with the response variable
C. To detect outliers in the predictor variables
D. To assess the linearity assumption and identify potential issues

Answer: D

NEW QUESTION # 148
In the context of assessing model results, what information can be interpreted from the Fit Summary window?

A. A detailed description of the data preprocessing steps
B. A summary of the model's goodness of fit and performance metrics
C. A list of all predictor variables used in the model
D. The distribution of the response variable in the dataset

Answer: B

NEW QUESTION # 149
When interpreting comparison results using the Assessment panel, what information can be obtained?

A. Model performance metrics, such as AUC and KS Statistic
B. The distribution of predictor variables
C. The number of iterations performed by each model
D. The relationship between two predictor variables

Answer: A

NEW QUESTION # 150
In the context of linear regression, what does the term "linearity" refer to?

A. The use of a straight line to model relationships
B. The requirement for variables to be categorical
C. The use of polynomial functions for modeling
D. The absence of any relationship between variables

Answer: A

NEW QUESTION # 151
When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?

A. Exponential distribution with a square root link function
B. Poisson distribution with a log link function
C. Normal distribution with an identity link function
D. Binomial distribution with a logit link function

Answer: D

NEW QUESTION # 152
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SASInstitute Valid A00-485 Sample Test Online–Pass A00-485 First Attempt

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q147-Q152):

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