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Listening Quiz: Giải Thích Kết Quả Phân Rã Chuỗi Thời Gian – Medium Level
Th9 1, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of the conversation?
A lesson on how to calculate yearly profits
A meeting to decide next year’s holiday schedule
A discussion about time series decomposition results and what they mean
A complaint about random changes in sales data
Explanation:
Robert explains the results of a time series decomposition, including trend, seasonality, and residuals, and how they help forecasting.
2.
According to Robert, what does the trend show?
Random changes that cannot be explained
Sales only during December
Regular patterns that repeat every year
The overall direction of the data over time
Explanation:
Robert says the trend shows the overall direction of the data over time.
3.
What example does Robert give of seasonality?
Sales stay the same throughout the year
Sales fall every January because of taxes
Sales rise every December because of holidays
Sales change randomly from month to month
Explanation:
Robert explains that seasonality includes regular patterns, and his example is that sales rise every December because of holidays.
4.
What are residuals in Robert’s explanation?
The overall direction of the data
Predictions of future sales
Patterns that repeat every year
Random changes that cannot be explained
Explanation:
Robert states that residuals are random changes we cannot explain.
5.
What can be inferred about the sales data?
Sales are decreasing every December
The data has no recognizable patterns
Sales are generally increasing over time
Residuals are more important than the trend
Explanation:
Robert says the trend is going up, meaning sales are increasing, so it can be inferred that sales are generally increasing over time.
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