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SCENARIO 16-13 Given Below Is the Monthly Time Series Data for U.S.retail

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SCENARIO 16-13
Given below is the monthly time series data for U.S.retail sales of building materials over a specific year.
SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively? The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1st month is 0:
Linear trend model:
SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively?
Quadratic trend model:
SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively? SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively? SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively? Third-order autoregressive::
SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively?
Below is the residual plot of the various models:
SCENARIO 16-13 Given below is the monthly time series data for U.S.retail sales of building materials over a specific year. The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1<sup>st</sup> month is 0: Linear trend model: Quadratic trend model: Third-order autoregressive:: Below is the residual plot of the various models: -Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13<sup>th</sup> month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,477.7776 and 9,411.8332,respectively?
-Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13th month using a smoothing coefficient of W = 0.25 if the exponentially smooth value for the 10th and 11th month are 9,477.7776 and 9,411.8332,respectively?

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