SASInstitute Modeling Using SAS Visual Statistics - A00-485 FREE EXAM DUMPS QUESTIONS & ANSWERS]

Question 1

Refer to the exhibit from a linear regression model in SAS Visual Statistics:

Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?

A. For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443. B. Age is a significant predictor of the response. C. For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response. D. The Intercept is an important predictor of the response.

Discussion 0

Correct Answer: A Vote an answer

Question 2

In generalized linear models, what is the purpose of the link function?

A. To calculate the p-values of predictor variables B. To adjust the model for multicollinearity C. To specify the relationship between the predictor and response variables D. To determine the distribution of the response variable

Discussion 0

Correct Answer: C Vote an answer

Question 3

What does the interactive group-by feature in SAS Visual Analytics allow you to do?

A. Interactively explore different levels of the group-by variable B. Create subgroups within the group-by variable C. Dynamically change the group-by variable during analysis D. Apply group-by modeling to multiple measures simultaneously

Discussion 0

Correct Answer: A,C Vote an answer

Question 4

What are some properties that can be defined in a generalized linear regression model?

A. Distribution and link function B. Number of predictors C. Coefficients and p-values D. Residuals and intercept

Discussion 0

Correct Answer: A Vote an answer

Question 5

You want to fit a Poisson regression and use the log link function to predict skin cancer from weather, pollution, and demographic variables. Each row in the data is a geographic region.
The response, Melanoma, is stored as the number of melanoma skin cancer cases in each region.
Because some regions have many people and some have few, your data also includes a variable with the region population.
What is the best way to include population in this model?

A. Add the log of Population as an offset. B. Add Population as an effect. C. Add the log of Population as an effect. D. Add Population as an offset.

Discussion 0

Correct Answer: A Vote an answer

Question 6

When exporting score code, what information is typically included in the code?

A. The entire training dataset B. Instructions for preprocessing new data C. The distribution of the response variable D. The model parameters and coefficients

Discussion 0

Correct Answer: B,D Vote an answer

Question 7

What is one advantage of using SAS Studio to score new data with exported score code?

A. It automatically optimizes the scoring process. B. It allows for direct integration with Hadoop clusters. C. It provides advanced visualization capabilities. D. It requires no additional software installation.

Discussion 0

Correct Answer: D Vote an answer

Question 8

What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?

A. Model performance metrics and their relative importance B. The number of iterations performed by each model C. The correlation matrix of predictor variables D. The distribution of predictor variables

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Correct Answer: A Vote an answer

Question 9

What does a Group-by Variable enable you to do in SAS Visual Statistics?

A. Fit a model for every value of a measure's distribution. B. Fit a model for each data segment defined by one or more category variables. C. Leverage informative missingness for measure and category variables. D. Use variable selection.

Discussion 0

Correct Answer: B Vote an answer