Exam 17: Data Mining

A facts table has:

Melody is a department store manager and wants to examine whether or not female shoppers are more likely than male shoppers to use a department credit card. "Female = 1" indicates the individual is a female. "Credit Card = 1" indicates the individual used a credit card to make the purchase. "Amount spent" is in dollars. Which variables would be the dependent and independent variables in Melody's model?

Suppose the odds of Team A winning are 5 to 1. Then, the odds ratio is:

-Create a pivot table that illustrates something meaningful about the variables in the accompanying table.

Megan is examining the likelihood of people riding the subway. The dependent variable takes on the value of 1 if the individual rides the subway and 0 otherwise. Therefore, she could use logistic regression to examine this question.

Bridget has partitioned data into two subsets. The original file contains 300,000 observations. The subset she is currently working with has 60,000 observations. Which subset is she most likely to be using?

Which methodology is used to group products that customers purchase together?

Mya is investigating the factors that impact soda consumption. She examines a host of variables that help explain the amount consumed. Which type of data mining methodology is she most likely to use?

Melody is a department store manager and wants to examine whether or not female shoppers are more likely than male shoppers to use a department credit card. "Female = 1" indicates the individual is a female. "Credit Card = 1" indicates the individual used a credit card to make the purchase. "Amount spent" is in dollars. Create a pivot table that illustrates something meaningful about the variables in the accompanying table. What does the pivot table indicate about spending habits?

If the regression coefficient estimate from a logistic regression is positive, the probability of the dependent variable taking on a value of 1:

Clustering is considered a supervised data mining technique.

In a facts table, a supermarket database is likely to have which item listed in rows?

The higher the "score" for a particular member in logistic regression, the:

The magnitude of the betas in a logistic regression cannot necessarily be used to determine which variables are the "most important." Explain.

A data mart is typically smaller than a data warehouse.

Segmentation is also known as clustering, and involves trying to group entities into similar clusters.

Melody is a department store manager and wants to examine whether or not female shoppers are more likely than male shoppers to use a department credit card. "Female = 1" indicates the individual is a female. "Credit Card = 1" indicates the individual used a credit card to make the purchase. "Amount spent" is in dollars. Melody runs a logistic regression. If the estimate on the female variable is positive, what does this indicate about credit card usage?

The testing set in data partitioning is the:

Data mining is used to examine known, expected patterns and relationships among variables.

The predicted value from a logistic regression will be: