Deck 17: Data Mining

Question 1

The predicted value from a logistic regression will be:

A) between 0 and 1
B) between -1 and 1
C) less than 0
D) greater than 1

Answer 1

between 0 and 1

Question 2

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

Answer 2

True

Question 3

Clustering is considered a supervised data mining technique.

Answer 3

False

Question 4

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.

Question 5

A facts table has:

A) few rows and many columns
B) many rows and many columns
C) many rows and few columns
D) few rows and few columns

Question 6

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?

Question 7

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

Question 8

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

A) decreases
B) approaches zero
C) increases
D) remains constant

Question 9

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?

Question 10

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

A) higher the likelihood that member is in category 1
B) lower the likelihood that member is in category 1
C) higher the likelihood that member is in category 0
D) higher the likelihood that member is not in a category

Question 11

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

Question 12

The testing set in data partitioning is the:

A) first subset of data, which usually contains 70% of the records
B) second subset of data, which usually contains 30% or less of the records
C) initial dataset from which subsets are created
D) first subset of data, which usually contains 30% of the records

Question 13

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

A) market basket analysis
B) prediction
C) classification analysis
D) forecasting

Question 14

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

A) 5/1
B) 1/5
C) 6/1
D) 1/6

Question 15

A data mart is typically smaller than a data warehouse.

Question 16

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?

A) the training set
B) the original set
C) the testing set
D) the prediction set

Question 17

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?

Question 18

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?

A) market basket analysis
B) prediction
C) classification analysis
D) forecasting

Question 19

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

A) the number of units sold
B) the revenue generated from a particular unit
C) the department in which the unit was purchased
D) the individual items purchased

Question 20

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