1. Using the six steps in decision making, model a problem that requires the use of decision making related to the application of the use of a sales forecast for a supermarket. 2. Make the forecast with the data in the Table presented below. Data is in thousands of dollars.

Meses	2014	2015	2016	2017
Julio	2165	2046.6	2075.3	2032.3
Agosto	2213.5	2109.2	2097.7	2107.4
Septiembre	2103.1	1956.7	2021	2012.8
Octubre	2133.6	2016.7	2082.8	2029.1
Noviembre	1966	1849.5	1906.9	1826
Diciembre	1937.5	1818.3	1950.3	1795
Enero	1856.8	1791.9	1817.8	1762.3
Febrero	1758.4	1629	1738.3	1629.4
Marzo	1864.3	1720.2	1993.4	1814.5
Abril	1889.7	1814.3	1895.8	1793.3
Mayo	2032.8	1897.4	2009.1	1890.7
Junio	2014.5	1961.1	1990.3	1938.3

The methods that will be used are the following:

Trend plot for all 4 years (scatter plot), weighted moving average (for each separate year) Exponential smoothing with fitting trend (year 2017 only, alpha and beta is 0.5) Trend regression with graph (year 2017 only) Multiplicative decomposition method (year 2017 only; 4 series)

Step Description Definition of the problem Maintain the level of sales and avoid losses after external events such as earthquakes, the Covid-19 pandemic, population decline in the area and inflation. Development of a Model Data collection Development of a solution Solution test Analysis of the results Implementation Note: Next to this table, attach the results of the Excel Qm or QM for Windows programs that served as a support tool in decision-making for modeling a real scenario.