$1.$ Given the HomeImprovemnt.com sales data for $103$ weeks, please generate Moving

Average, Exponentially Smoothed $($ES$),$ Adjusted Exponentially Smoothed $($AF$)$ and

Simple Linear Regression forecasts $($SLR$).(80$ points$)$

Forecasting Method Forecasting Criteria Points

Moving Average $5$ periods $5$

Moving Average Please choose the number of periods for

forecasting model using MA approach.

Briefly explain why you picked this value for a

model parameter.

$10$

Exponentially Smoothed

$($ES$)$

Alpha$=0\mathrm{.}85$

Exponentially Smoothed

$($ES$)$

Please choose alpha for ES forecasting model.

Briefly explain why you picked this value for a

model parameter.

$10$

Adjusted Exponentially

Smoothed $($AF$)$

Alpha$=0\mathrm{.}8$

Beta$=0\mathrm{.}5$

$10$

Adjusted Exponentially

Smoothed $($AF$)$

Please choose beta for AF forecasting model.

Briefly explain why you picked this value for a

model parameter.

$10$

Simple Linear Regression

forecasts $($SLR$)$

Please develop a forecasting model using Linear

Regression

$10$

$2.$ Please forecast value for period $107$ using ALL forecasting methods $(10$ points$)$

$3.$ Please calculate MAD for all forecasting models and select the best performing

forecasting model for HomeImprovement.com. $(10$ points$)$