A time series is said to be _______ if its statistical properties such as mean and variance remain constant over time.
- Dynamic
- Oscillating
- Stationary
- Trending
The blank is filled with "Stationary." A time series is considered stationary if its statistical properties, such as mean and variance, remain constant over time. Stationarity is important in time series analysis as it simplifies the modeling process and allows for more accurate predictions.
Loading...
Related Quiz
- You are analyzing a dataset in Pandas with missing values. Which method would you use to impute these missing values based on other columns?
- In a scenario where an organization is facing data breaches, which data governance policy should be prioritized for improvement?
- What is the output of print(list("123"[::-1])) in Python?
- What is the significance of 'star schema' in data warehousing and how does it benefit data analysis?
- The function to calculate the internal rate of return in Excel is _______.