Time series data requires the order of data points to be preserved.

Question

BlackTom AI · Accepted Answer

Consider the statement about time series data and order preservation. 
Option 1: True. In time series, data points are collected sequentially in time, and the order matters because the analysis depends on the progression of observations over time. Trends, seasonality, and autocorrelation rely on the temporal sequence, so preserving order is essential for accurate modeling and forecasting. 
Option 2: False. Saying the order need not be preserved would ignore the defining characteristic of time series data—the temporal ordering—leading to invalid analyses such as mixing timestamps or treating observations as exchangeable, which would distort any conclusions about movement over time. 
To summarize, treating time-ordered data as unordered would erase the very information required to detect patterns that unfold across moments, such as rising trends, cycles, or lag relationships, making the false statement incorrect.

Time series data requires the order of data points to be preserved.

查看解析

登录即可查看完整答案

类似问题

Give the single best correct answer.In time series for predicting seasonal data,[Fill in the blank]

The figure below shows which time series pattern?

A ski resort uses forecasts to plan staff schedules. It notices gradual increases and decreases in customer volume over several years depending on economic conditions. This pattern is best described as:

A forecasting model where actual occurrences follow an identifiable pattern over time is known as the ________ model:

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单