STAT TECH IN BUSINESS & ECON LL\AC
STAT TECH IN BUSINESS & ECON LL\AC
18th Edition
ISBN: 9781264720545
Author: Lind
Publisher: MCG
Question
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Chapter 18, Problem 21E

a.

To determine

To draw: The graph of the given time series.

b.

To determine

To explain: The pattern of the given time series.

c.

To determine

To explain: The reason for which forecasting with a seasonally adjusted trend model appropriate for the given time series data.

d.

To determine

To calculate: A seasonally adjusted trend forecasting model and the MAD.

e.

To determine

To calculate: The monthly indexes.

f.

To determine

To calculate: The forecasted sale for January, February, March, and April of 2019.

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The following data report total, monthly U.S. gasoline sales in millions of dollars from January 2017 toDecember 2018. (To find the data, go to the site https://www.census.gov/retail/index.html#mrts, find“Monthly Retail Trade Report,” then select “Time Series/Trend Charts.”)Year   Month             Sales                                 ($ millions)2017   Jan                $35,6302017   Feb                  33,9722017   Mar                   38,6222017   Apr                    38,9732017   May                  40,7392017   Jun                   40,0092017   Jul                    39,7972017   Aug                  41,2172017   Sep                  41,3462017   Oct                   41,7172017   Nov                  40,1862017   Dec                  40,0462018   Jan                   39,2232018   Feb                   37,3772018   Mar                   42,6482018   Apr                    43,1092018   May                   48,0492018   Jun                    47,5462018   Jul…
The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019. (Go to https://www.census.gov/retail/index.html#mrts, find “Monthly Retail Trade Report,” then select “Time Series/Trend Charts” to find the data for the total U.S. bookstore sales.)YearMonth         2016      2017       2018         2019January     $1,468    $1,386    $1,271      $1,144February     727       691          709           666March         719       707          734           685April            709       729          710May            778       781          787June           713       704          727July            687       669          701August       1,524    1,374       1,364September 1,064    997          986October      715       689          741November  742       703          768December  1,256    1,157       1,259         g. Predict book sales for the next 9 months. (Round your answers to 4 decimal places.)Year    Month                Forecast…
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