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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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,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 = 0.5 if the exponentially smooth value for the 10<sup>th</sup> and 11<sup>th</sup> month are 9,746.3672 and 9,480.1836,respectively?
-Referring to Scenario 16-13,what is the exponentially smoothed forecast for the 13th month using a smoothing coefficient of W = 0.5 if the exponentially smooth value for the 10th and 11th month are 9,746.3672 and 9,480.1836,respectively?


Definitions:

Marginal Revenue

Incremental income earned by selling an additional unit of a good or service.

Marginal Cost

The rise in expenses associated with the production of an extra unit of a product or service.

Price-searcher Firm

A company that determines the price of its products based on demand and supply conditions rather than prevailing market prices.

Competitive Price-searcher

A market scenario where sellers actively seek out buyers by setting prices independently to capture consumer demand.

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