In time series analysis, what is the primary purpose of "forecast error variance decomposition"? - Data Science MCQs

Home / Programming MCQs / Data Science MCQs / Question

M

Mr. Dubey • 51.43K Points
Coach

Q. In time series analysis, what is the primary purpose of "forecast error variance decomposition"?

(A) To identify seasonality in the data

(B) To test for autocorrelation in residuals

(C) To evaluate the accuracy of forecasts

(D) To decompose forecast error sources

Correct answer: Option(D)

Data Science Share

No solution found for this question.
Add Solution and get +2 points.

You must be Logged in to update hint/solution

Previous MCQ Next MCQ

Discusssion

Login to discuss.

Related MCQs on Data Science

What does the term "bias-variance trade-off" refer to in machine learning?

The most familiar place for a plot to be "sent" is screen device.

x-ray brings the labeled data power of pandas to the physical sciences.

What is the primary data structure in Numpy used for storing and performing operations on numerical data?

varImp is a wrapper around the evimp function in the . . . . . . . . package.

Which of the following is used to generate an index with time delta?

What does the term "imputation" refer to in data preprocessing?

What is the primary purpose of an Entity-Relationship Diagram (ERD) in data modeling?

What is the primary goal of "differencing" in time series analysis?

In the context of big data, what is the term for the process of preparing and transforming data so that it can be effectively analyzed and visualized?

Learn All Data Science MCQs