Question 1 of 30
A telecommunications company is analyzing historical data to improve its customer retention strategies. They have collected data over the past five years, including customer demographics, service usage patterns, and churn rates. The data shows that customers aged 25-34 have a churn rate of 15%, while those aged 35-44 have a churn rate of 10%. If the company wants to predict future churn rates based on this historical data, which statistical method would be most appropriate to identify trends and make forecasts?
Time series analysis
Linear regression
Cluster analysis
Descriptive statistics

Preparing for CISCO 700-150 Introduction to Cisco Sales? Now land the interview.

73% of qualified candidates get rejected because of weak resumes. Build an ATS-optimized, recruiter-ready resume in under 5 minutes - free to start.

Build My Resume Free