STAT TECH IN BUSINESS & ECON AC
STAT TECH IN BUSINESS & ECON AC
18th Edition
ISBN: 9781264731657
Author: Lind
Publisher: MCG
Question
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Chapter 18, Problem 19E

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 quarterly indexes.

f.

To determine

To calculate: The forecasted sale for next four time periods.

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Using the following time series data of U.S. new car sales ($ millions), respond to the following items. (The data is sourced from Find "Monthly Retail Trade Report," then select "Time Series/Trend Charts" to find the https://www.census.gov/retail/index.html#mrts. data for U.S. new car sales.). Year $ Sales (Millions) 2009 2010 $ 486,565 549,473 2011 608,792 2012 672,550 2013 735,374 2014 785,142 2015 842,120 2016 2017 2018 877,743 911,157 943,538
Please answer part B and C
Using the following time series data of U.S. new car sales ($ millions), respond to the following items. (The data is sourced from https://www.census.gov/retail/index.html#mrts. Find “Monthly Retail Trade Report,” then select “Time Series/Trend Charts” to find the data for U.S. new car sales.).  Year $ Sales (Millions) 2009 486,565 2010 549,473 2011 608,788 2012 672,550 2013 735,374 2014 785,142 2015 842,122 2016 877,743 2017 911,157 2018 943,538  b. Test for autocorrelation using the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round your answers to 2 decimal places.) Year $ Sales (Millions) Predicted Residuals Lagged Residuals Squared Difference Squared Residuals 2009 486,565           2010 549,473           2011 608,788           2012 672,550           2013 735,374           2014 785,142           2015 842,122           2016 877,743           2017 911,157           2018 943,538…
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