Question

which of the following is relatively easier to estimate in time series modeling​

Answer 1

Answer:

Which of the following is relatively easier to estimate in time series modeling? As we seen in previous solution, as seasonality exhibits fixed structure; it is easier to estimate.

Answer 2

When working with time series data, we often want to know some feature of the series at a given point in time.

Explanation:

• For example, we might be curious about the average temperature in the office over the last week. Time series models can be used to answer questions of this type, but they can also be used to answer questions that are more complicated.
• When working with time series models, the most important thing to keep in mind is that they are trying to estimate the value of a certain feature of the data at a given point in time.
• Time series models are often used to study processes that occur over time, such as the stock market or the weather. When you have a time series, you are given a list of data points that represent the state of something at a particular moment in time.
• The process of trying to understand what caused a particular pattern in the data is often referred to as causation in time series. In order to investigate causation, you can use a variety of techniques, such as linear regression.