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

Accepted Answer

In logistic regression, the predicted value is the probability of the outcome variable being in a specific category (typically 0 or 1). Since probability ranges from 0 to 1, the predicted value from a logistic regression will also range from 0 to 1. Therefore, option A is the best answer. Options B, C, and D are not correct because they suggest ranges that are not applicable to probabilities.

Question 2

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

Accepted Answer

This statement is true. Segmentation and clustering both refer to the process of grouping similar entities together.

Question 3

Clustering is considered a supervised data mining technique.

Accepted Answer

Clustering is actually an unsupervised data mining technique where data is grouped into clusters based on similarities and patterns within the data. There is no predetermined classification or labeled data to train the algorithm on.

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.

Accepted Answer

Logistic regression is an appropriate method to analyze the likelihood of individuals having a certain binary outcome, such as riding the subway or not.

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

Accepted Answer

The answer of A facts table has:
A) few rows and...

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?

Accepted Answer

The answer of Melody is a department store manager and...

Question 7

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

Accepted Answer

The answer of The magnitude of the betas in a...

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

Accepted Answer

A positive regression coefficient estimate in logistic regression means that there is a positive relationship between the independent variable and the log-odds of the dependent variable. This implies that as the independent variable value increases, the log-odds of the dependent variable taking on a value of 1 increase as well. Since probability is derived from the log-odds using the logistic function, an increase in log-odds results in an increase in probability. Therefore, the probability of the dependent variable taking on a value of 1 increases.

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?

Accepted Answer

The answer of Melody is a department store manager and...

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

Accepted Answer

In logistic regression, the score (also called the predicted probability) obtained for each member indicates the likelihood of that member belonging to category 1. Therefore, the higher the score, the higher the likelihood that the member is in category 1.

Question 11

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

Accepted Answer

Data mining is primarily used to discover unknown patterns and relationships among variables, not just to examine known or expected ones.

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

Accepted Answer

The testing set in data partitioning is typically the second subset of data, which usually contains 30% or less of the records. This set is used to evaluate the performance of a model after it has been trained on the training set.

Question 13

Which methodology is used to group products that customers purchase together?
A) market basket analysis
B) prediction
C) classification analysis
D) forecasting

Accepted Answer

Market basket analysis is the methodology used to group products that customers purchase together.

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

Accepted Answer

The answer of Suppose the odds of Team A winning...

Question 15

A data mart is typically smaller than a data warehouse.

Accepted Answer

A data mart is typically a subset of a data warehouse, focusing on a specific topic or area of the organization, so it is smaller in size and scope compared to 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

Accepted Answer

The subset Bridget is working with is likely the testing set, as it is common to use a smaller portion of the data for testing after training a model on a larger training 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?

Accepted Answer

The answer of Melody is a department store manager and...

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

Accepted Answer

Prediction is the most suitable data mining methodology for Mya's investigation because it involves analyzing current and historical data to make predictions about future or unknown events, such as the amount of soda consumed based on various factors.

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

Accepted Answer

A facts table in a database typically lists individual transactions or events, such as each item purchased in a supermarket, in its rows.

Question 20

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

Accepted Answer

The answer of 
-Create a pivot table that illustrates something...

Quiz 17: Data Mining

The predicted value from a logistic regression will be:

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

Clustering is considered a supervised data mining technique.

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.

A facts table has:

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

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

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

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

The testing set in data partitioning is the:

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

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

A data mart is typically smaller than a data warehouse.

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?

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?

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

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