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QUESTION 14 is/are unstructured, not arranged in neat columns and rows with only numbers populating the various locations. Cross-sectional data Техt Time series data Spreadsheets

QUESTION 14 is/are unstructured, not arranged in neat columns and rows with only numbers populating the various locations. Cross-sectional data Техt Time series data Spreadsheets

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Which of the following models does not require stationary data? Simple Exponential Smoothing Moving Averages Adaptive Response Rate Smoothing O Time Series Decomposition All of the options are correct. QUESTION 14 is/are unstructured, not arranged in neat columns and rows with only numbers populating the various locations. Cross-sectional data Теxt O Time series data Spreadsheets QUESTION 15 Because the best software cannot automatically take into account the specific industry, marketing, and economic knowledge that a business professional may have, the forecaster should consider imposing his/her biases on the final outcome. only quantitative forecasts should be used to reduce bias. O it may be useful to take into account both quantitative and qualitative forecasts. All of the options are correct.
Transcribed Image Text:Which of the following models does not require stationary data? Simple Exponential Smoothing Moving Averages Adaptive Response Rate Smoothing O Time Series Decomposition All of the options are correct. QUESTION 14 is/are unstructured, not arranged in neat columns and rows with only numbers populating the various locations. Cross-sectional data Теxt O Time series data Spreadsheets QUESTION 15 Because the best software cannot automatically take into account the specific industry, marketing, and economic knowledge that a business professional may have, the forecaster should consider imposing his/her biases on the final outcome. only quantitative forecasts should be used to reduce bias. O it may be useful to take into account both quantitative and qualitative forecasts. All of the options are correct.
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