Practice Components Of Time Series (10.2) - Time Series Analysis and Forecasting

Practice: Components of Time Series

Lesson 10.2Time Series Analysis and Forecasting

Practise this section

9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
Define 'Trend' in the context of time series.
Show hintHide hint
Think about whether the data goes up or down over time.
Question 2.
What is 'Seasonality'?
Show hintHide hint
Consider patterns that repeat, like seasons in a year.
3Question 3.
What component of a time series reflects long-term movement?
- Trend
- Seasonality
- Noise
Show hintHide hint
Consider what describes the overall direction of the time series.
4Question 4.
True or False: Cyclic patterns always occur at regular intervals.
- True
- False
Show hintHide hint
Reflect on the nature of cycles versus seasons.
Question 5.
Given a dataset of monthly airline passenger numbers over several years, identify trends, seasonal patterns, cyclic effects, and irregular variations.
Show hintHide hint
Use visual analysis and statistical measures to support your observations.
Question 6.
Outline the process you would use to select between an additive and multiplicative model for a time series with seasonal fluctuations that seem to vary in magnitude.
Show hintHide hint
Keep in mind the impact of seasonality's size relative to the overall data.

5 more questions in this section. Enroll free to practise them all.