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 28CE

a.

To determine

To draw: The graph of the given time series data.

b.

To determine

To calculate: Three period moving average for the given time series data and MAD.

c.

To determine

To calculate: Six period moving average for the given time series data and MAD.

d.

To determine

To calculate: The forecast demand for period 17 for three period moving average and six period moving average.

e.

To determine

To state: The model to be chosen to make forecast.

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In retail, a store manager uses time series models to understand shopping trends.  Review the scatter plot of the store’s sales from 2010 through 2021 to answer the questions. See attached as image. Here is the data for Fiscal Year and Sales: Fiscal Year Sales 2010 $260,123.00 2011 $256,853.00 2012 $274,366.00 2013 $290,525.00 2014 $322,318.00 2015 $380,921.00 2016 $541,925.00 2017 $909,050.00 2018 $1,817,521.00 2019 $3,206,564.00 2020 $4,921,005.00 2021 $5,686,338.00 Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components?  The model can be additive or multiplicative. When do you use each? Review the scatter plot of the exponential trend of the time series data. Do you observe a trend? If so, what type of trend do you observe? What predictions might you make about the store’s annual sales over the next few years?
Please answer asap I really need help
Use the data given in the three scenarios below to produce scatter plots, determine the type of model demonstrated in each example and then answer the questions based on the graph you created.
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