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Which of the following statements about time-series forecasting m is TRUE? Check all that apply. O Linear Regression for Seasonality without Trend method is appropriate fo with a seasonal pattern only. O You choosè a small value for "k" when using the Simple Moving Average m of order "k" to track movement in the most recent data.

Which of the following statements about time-series forecasting m is TRUE? Check all that apply. O Linear Regression for Seasonality without Trend method is appropriate fo with a seasonal pattern only. O You choosè a small value for "k" when using the Simple Moving Average m of order "k" to track movement in the most recent data.

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 statements about time-series forecasting methods is TRUE? Check all that apply. Linear Regression for Seasonality without Trend method is appropriate for data with a seasonal pattern only. You choosè a small value for "k" when using the Simple Moving Average method of order "k" to track movement in the most recent data. Linear Regression is the method of choice for data with a trend pattern. O You choose a large value for alpha when using the Exponential Smoothing method to give less weight to the most recent data. Linear Regression uses the time period as the dependent variable. O There is no time-series forecasting method for data with both seasonal and trend patterns. The Simple Average method is also known as the Historical Moving Average method.
Transcribed Image Text:Which of the following statements about time-series forecasting methods is TRUE? Check all that apply. Linear Regression for Seasonality without Trend method is appropriate for data with a seasonal pattern only. You choosè a small value for "k" when using the Simple Moving Average method of order "k" to track movement in the most recent data. Linear Regression is the method of choice for data with a trend pattern. O You choose a large value for alpha when using the Exponential Smoothing method to give less weight to the most recent data. Linear Regression uses the time period as the dependent variable. O There is no time-series forecasting method for data with both seasonal and trend patterns. The Simple Average method is also known as the Historical Moving Average method.
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