Premium

SAS Certified BI Content Developer for SAS 9 and Business Analytics Questions and Answer (Dumps and Practice Questions)



Question : Refer to the exhibit.
Based on the control plot, which conclusion is
justified regarding the means of the response?

: Refer to the exhibit.
1. All groups are significantly different from each other.
2. 2XL is significantly different from all other groups
3. Only XL and 2XL are not significantly different from each other.
4. No groups are significantly different from each other.

Correct Answer : 3

CONTROLPLOT : requests a display in which least squares means are compared against a reference level. LS-mean control plots are produced only when you specify PDIFF=CONTROL or ADJUST=DUNNETT in the LSMEANS statement, and in this case they are produced by default.

Refer study notes as well.




Question : Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers
into groups defined by the company's pre-assigned market segments and tested for difference in the customers'
average intent to purchase. The following is the output from the GLM procedure:
What percentage of customers' intent to purchase is explained by market segment?
: Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers
1. less than 0.01%
2. 35%
3. 65%
4. 76%


Correct Answer : 4
The GLM procedure uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are regression, analysis of variance, analysis of covariance, multivariate analysis of variance, and partial correlation.
PROC GLM analyzes data within the framework of general linear models. PROC GLM handles models relating one or several continuous dependent variables to one or several independent variables. The independent variables can be either classification variables, which divide the observations into discrete groups, or continuous variables. Thus, the GLM procedure can be used for many different analyses, including the following:
" simple regression
" multiple regression
" analysis of variance (ANOVA), especially for unbalanced data






Question : Refer to the exhibit:
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
: Refer to the exhibit:
1. Normality, because Prob > F less than .0001.
2. title Normality, because the interquartile ranges are different in different ad campaigns.
3. Constant variance, because Prob > F less than .0001.
4. Constant variance, because the interquartile ranges are different in different ad campaigns



Correct Answer : 4

Refer study notes



Related Questions

Question : Suppose you have made a model for the rating system, which rates between to stars.
And you calculated that RMSE value is 1.0 then which of the following is correct
 : Suppose you have made a model for the rating system, which rates between to stars.
1. It means that your predictions are on average one star off of what people really think
2. It means that your predictions are on average two star off of what people really think
3. It means that your predictions are on average three star off of what people really think
4. It means that your predictions are on average four star off of what people really think



Question : You are creating a regression model with the input income, education and current debt of a customer,
what could be the possible output from this model.
 : You are creating a regression model with the input income, education and current debt of a customer,
1. Customer fit as a good
2. Customer fit as acceptable or average category
3. expressed as a percent, that the customer will default on a loan
4. 1 and 3 are correct
5. 2 and 3 are correct


Question : In which of the scenario you can use the regression to predict the values
 : In which of the scenario you can use the regression to predict the values
1. Samsung can use it for mobile sales forecast
2. Mobile companies can use it to forecast manufacturing defects
3. Probability of the celebrity divorce
4. Only 1 and 2
5. All 1 , 2 and 3


Question : Which SAS program will divide the original data set into % training and % validation data sets, stratified by county?
 : Which SAS program will divide the original data set into % training and % validation data sets, stratified by county?
1. A
2. B
3. C
4. D


Question : Refer to the lift chart:
At a depth of 0.1, Lift = 3.14. What does this mean?
 : Refer to the lift chart:
1. 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%.
2. Selecting the observations with a response probability of at least 10% should result in 3.14
times more events than a random draw of 10%.
3. Selecting the top 10% of the population scored by the model should result in 3.14 timesgreater
accuracy than a random draw of 10%.
4. Selecting the observations with a response probability of atleast 10% should result in 3.14times
greater accuracy than a random draw of 10%.



Question : Refer to the lift chart:
What does the reference line at lift = 1 corresponds to?
 : Refer to the lift chart:
1. The predicted lift for the best 50% of validation data cases
2. The predicted lift if the entire population is scored as event cases
3. The predicted lift if none of the population are scored as event cases
4. The predicted lift if 50% of the population are randomly scored as event cases