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BUA.345.M006.FALL25.Business Analytics for Mgt Dec Exam3 BUA.345.M006.FALL25.Business Analytics for Mgt Dec Exam3
Multiple fill-in-the-blank
In the previous question, you developed the time series called TouristDataTSNow, we are ready to create the best forecasting model from the above time series. The line of R code that you would type in RStudio is:TouristModel <- ___A___ ( ___B___, ic = ___C___ , ___D___ = ___E___ )The above letters represents what you would type into RStudio. Please type in your answers below, EXACTLY, with the correct "case". Do NOT put any spaces in your answers below. If your answer needs QUOTES, please include them in your answer below.A: [input]B: [input]C: [input]D: [input]E: [input]
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Step-by-Step Analysis
The question asks us to construct the R code line that fits the given blanks for creating a forecasting model from TouristDataTSNow. We'll go through each blank in turn and explain why the provided answers fit, while also noting any caveats or common misunderstandings.
Blank A: auto.arima
- Why this is appropriate: In time series forecasting with the forecast package in R, the function auto.arima is commonly used to automatically select an ARIMA model for a univariate time series. It scans different ARIMA configurations and picks one based on a chosen information criterion. Using auto.arima here aligns with the goal of “creating the best forecasting model from the above time series.”
- What students often get wrong: Some might attempt to manually specify ARIMA(p,d,q) orders or use other model-fitting functions (like arima or Arima) when the intention is automatic selection. The prompt explicitly points to a fu......Login to view full explanationLog in for full answers
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