📓PR1 | FINALS || QUANTITATIVE ANALYSIS TYPES
Quiz
•
Social Studies
•
11th Grade
•
Hard
Emarse Mariano
FREE Resource
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26 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Identifying customers who are likely to cancel their subscriptions based on their usage patterns and interactions.
REGRESSION
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Identifying whether increase in caffeine intake will directly or inversely affect student energy levels throughout the day.
REGRESSION
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Determining the relationship between Classical and Medieval Music and how listening to them increases productivity
REGRESSION
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Predicting household energy consumption based on factors like weather, appliance usage, and house size.
REGRESSION
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
Answer explanation
IDENTIFIES RELATIONSHIP BETWEEN 2 OR MORE VARIABLES OF INTEREST.
If house size is small, will energy consumptions decrease? If weather is sunny, will energy consumptions lessen?
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Determining which features of a new product are most important to consumers and how much they are willing to pay for them.
REGRESSION
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Analyzing groups of customers who signed up in the same month to see how their engagement changes over time.
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
CLUSTER
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
IDENTIFY WHICH ANALYSIS IS BEST FOR THE GIVEN SCENARIO:
Using historical financial data to predict the likelihood of a customer defaulting on a loan.
COHORT
PREDICTIVE
PRESCRIPTIVE
CONJOINT
CLUSTER
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