SAS Institute A00-240 Test Prep 2021

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NEW QUESTION 1
Refer to the REG procedure output:
A00-240 dumps exhibit
Click on the calculator button to display a calculator if needed.

  • A. 0.4115
  • B. 0.6994
  • C. 0.5884
  • D. 0.1372

Answer: A

NEW QUESTION 2
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / <insert option here> =levene;

  • A. test
  • B. adjust
  • C. var
  • D. hovtest

Answer: D

NEW QUESTION 3
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 process.
What is the purpose of the test data set?

  • A. To provide a unbiased measure of assessment for the final model.
  • B. To compare models and select and fine-tune the final model.
  • C. To reduce total sample size to make computations more efficient.
  • D. To build the predictive models.

Answer: A

NEW QUESTION 4
A linear model has the following characteristics:
✑ A dependent variable (y)
✑ Three continuous predictor variables (x1-x3)
✑ One categorical predictor variable (c1with 3 levels)
Which SAS program fits this model?
A00-240 dumps exhibit

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

Answer: D

NEW QUESTION 5
Refer to the exhibit.
A00-240 dumps exhibit
Based on the control plot, which conclusion is justified regarding the means of the response?

  • A. All groups are significantly different from each other.
  • B. 2XL is significantly different from all other groups.
  • C. Only XL and 2XL are not significantly different from each other.
  • D. No groups are significantly different from each other.

Answer: C

NEW QUESTION 6
The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?

  • A. Training data
  • B. Total data
  • C. Test data
  • D. Validation data

Answer: D

NEW QUESTION 7
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?
A00-240 dumps exhibit

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

Answer: B

NEW QUESTION 8
The standard form of a linear regression model is:
A00-240 dumps exhibit
Which statement best summarizes the assumptions placed on the errors?

  • A. The errors are correlated, normally distributed with constant mean and zero variance.
  • B. The errors are correlated, normally distributed with zero mean and constant variance.
  • C. The errors are independent, normally distributed with constant mean and zero variance.
  • D. The errors are independent, normally distributed with zero mean and constant variance.

Answer: D

NEW QUESTION 9
An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model.
The analyst discovers that the probability of purchasing a certain item when Region = A is 1.
What problem does this illustrate?

  • A. Collinearity
  • B. Influential observations
  • C. Quasi-complete separation
  • D. Problems that arise due to missing values

Answer: C

NEW QUESTION 10
An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
✑ Gender (M or F)
✑ Pay (dollars per year)
Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries? (Choose two.)
A00-240 dumps exhibit

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

Answer: AB

NEW QUESTION 11
Given the following SAS data set TEST:
A00-240 dumps exhibit
Which SAS program is NOT a correct way to create dummy variables?
A00-240 dumps exhibit

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

Answer: D

NEW QUESTION 12
The question will ask you to provide a missing statement. Given the following SAS program:
A00-240 dumps exhibit
Which SAS statement will complete the program to correctly score the data set NEW_DATA?

  • A. Scoredata data=MYDIR.NEW_DATA out=scores;
  • B. Scoredata data=MYDIR.NEW_DATA output=scores;
  • C. Scoredata=HYDIR.NEU_DATA output=scores;
  • D. Scoredata=MYDIR,NEW DATA out=scores;

Answer: D

NEW QUESTION 13
Refer to the lift chart:
A00-240 dumps exhibit
At a depth of 0.1, Lift = 3.14. What does this mean?

  • A. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.
  • B. Selecting the observations with a response probability of at least 10% should result in3.14 times more events than a random draw of 10%.
  • C. Selecting the top 10% of the population scored by the model should result in 3.14 timesgreater accuracy than a random draw of 10%.
  • D. Selecting the observations with a response probability of atleast 10% should result in 3.14times greater accuracy than a random draw of 10%.

Answer: A

NEW QUESTION 14
Refer to the REG procedure output:
A00-240 dumps exhibit
An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.
Which statistic justifies this rationale?

  • A. R-Square
  • B. Coeff Var
  • C. Adj R-Sq
  • D. Error DF

Answer: C

NEW QUESTION 15
Refer to the REG procedure output:
A00-240 dumps exhibit
The Intercept estimate is interpreted as:

  • A. The predicted value of the response when all the predictors are at their current values.
  • B. The predicted value of the response when all predictors are at their means.
  • C. The predicted value of the response when all predictors = 0.
  • D. The predicted value of the response when all predictors are at their minimum values.

Answer: C

NEW QUESTION 16
A predictive model uses a data set that has several variables with missing values. What two problems can arise with this model? (Choose two.)

  • A. The model will likely be overfit.
  • B. There will be a high rate of collinearity among input variables.
  • C. Complete case analysis means that fewer observations will be used in the model building process.
  • D. New cases with missing values on input variables cannot be scored without extra data processing.

Answer: CD

NEW QUESTION 17
A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?

  • A. Sensitivity and PV+
  • B. Specificity and PV-
  • C. PV+ and PV-
  • D. Sensitivity and Specificity

Answer: D

NEW QUESTION 18
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 selects Large (L) as the reference level.
A00-240 dumps exhibit
What is the estimated logit for a person with large wrist size? Click the calculator button to display a calculator if needed. A. 0.0819

  • A. 0.5663
  • B. -3.7727
  • C. -1.0415

Answer:

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