Yee

Mowib

Seles

average forecasting: $(3)3-$period

$1192$

$(2)$

moving everage forecasting: $($t$)$

$9312$

$224\mathrm{.}5$

$19.4$

$1229$

$8965$

$1858$

$184\mathrm{.}8$

$1495$

$2104$

$278\mathrm{.}8$

$1904$

exponential smeothing forecasting

using alphe $=0\mathrm{.}8$ and the forecast

Value for the seciond menth of Year $1-$

$(5)$ exponential smoothing forecasting

$236$

$$03\mathrm{.}6$

using alpha $=0\mathrm{.}2$ and the forecast

$339$

$42\mathrm{.}6$

value for the second month of Year $1=$

$2045$

$30\mathrm{.}3$

$(3)$:

$4904$

$3159$

$4013$

$4013$

$437\mathrm{.}4$

sss

$4076$

Fill in the blanks of the following with a

$453$

$5813$

number rounded to two decima! places unless otherwise directed. Do

NOT use commas for values over

$1000.$

$665$

The simple average forecast for Year $4$ Month $1$ is

The exponential smoothing forecast using alpha $=0\mathrm{.}8$ for Year $4$ Month $1$ is$.$

The exponential smoothing forecast using alpha $=0\mathrm{.}2$ for Year $4$ Month $1$ is$.$

The $3-$period mioving average forecast Year $4$ Month $1$

is$.$

The cumulative forecast error for the simple average forecasting method is

The Mean Squared Error for the $3-$period moving average forecasting method is$.$

Exponential smoothing forecast with alpha $=0\mathrm{.}8$ is more accurate than one with alpha $=0\mathrm{.}2$ for this data