For your next case study, Ms$.$ Elizabeth Burke and your instructor have teamed up in order to create tasks that reinforce multiple concepts from Chapter $9.$ Both Ms$.$ Burke and your instructor require all groups analyze mower and tractor unit sales, and mower and tractor industry total sales. The data is provided in four worksheets $($Mower Unit Sales, Tractor Unit Sales, Industry Mower Total Sales, Industry Tractor Total Sales$)$ and is separated by region $($NA$,$ SA$,$ Eur, Pac, China, and the World$).$ Although initially Ms$.$ Burke preferred that each group create $24(6$ forecasts times $4$ worksheets$)$ forecasts for all regions for mower and tractor unit sales, and for mower and tractor industry total sales, both Ms$.$ Burke and your instructor agreed to require only $8$ forecasts, but each forecast must use a different forecasting technique. Please read the entire instructions before beginning your analysis for each step.

The instructions for your $5$th case study report include the following steps:

$1)$ Find eight data sets $($this may take some time to find plots with appropriate patterns$)$ to forecast data $12$ months ahead $($Months in $2023)$ in the four excel files listed above.

a$.$ A data set is defined as either the mower or tractor sales amounts per region.

i$.$ Examples of data sets that are non$-$inclusive:

$1.$ Mower Unit Sales for North American $($NA$)$

$2.$ Tractor Unit Sales for Europe $($Eur$)$

$3.$ Industry Mower Total Sales for South America $($SA$)$

$4.$ Industry Tractor Total Sales for the World $($World$)$

b$.$ Your group does not need to use data sets from all four worksheets.

c$.$ Your group must use a different forecasting technique for each of the eight data sets selected.

i$.$ Examples of Forecasting Techniques:

$1.$ Moving Average

$2.$ Exponential

$3.$ Double Exponential

$4.$ Simple Linear Regression

$5.$ Holt$-$Winters Additive Model with no trend

$6.$ Holt$-$Winters Multiplicative Model with no trend

$7.$ Holt$-$Winters Additive Model with trend

$8.$ Holt$-$Winters Multiplicative Model with trend

d$.$ Your group needs to identify data sets that are indicative of implementing the forecasting techniques. The videos posted on D$2$L provide lengthy discussions about how to determine when to use a particular forecasting technique based on formation of the data in your plots.