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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 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...
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
Refer to the exhibit. Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?A . Medium wrist size is significantly different than small wrist size.B . Large wrist size is significantly different than medium wrist size.C . Large wrist...
What is the best data to use for model assessment?
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 dataB . Total dataC . Test dataD . Validation dataView AnswerAnswer: D
What X and Y values should be added to the program to correctly score the data?
This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95%...
What can you conclude?
A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable. Suppose there is a...
What is a correct interpretation of this graph?
Refer to the following exhibit: What is a correct interpretation of this graph?A . The association between the continuous predictor and the binary response is quadratic.B . The association between the continuous predictor and the log-odds is quadratic.C . The association between the continuous predictor and the continuous response is...
What does this program calculate?
Suppose training data are oversampled in the event group to make the number of events and nonevents roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event...
Based on the control plot, which conclusion is justified regarding the means of the response?
Refer to the 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 ....
Which assumption has been violated and why?
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?A . Normality, because Prob > F < .0001.B . Normality, because...
Including redundant input variables in a regression model can:
Including redundant input variables in a regression model can:A . Stabilize parameter estimates and increase the risk of overfitting.B . Destabilize parameter estimates and increase the risk of overfitting.C . Stabilize parameter estimates and decrease the risk of overfitting.D . Destabilize parameter estimates and decrease the risk of overfitting.View AnswerAnswer:...
