Item$27$

$4$

points

Time Remaining $1$ hour $31$ minutes $41$ seconds$01$:$31$:$41$

Item $27$

Time Remaining $1$ hour $31$ minutes $41$ seconds$01$:$31$:$41$

Date GapSales$(000)$

Mar$-85105,715$

Jun$-85120,136$

Sep$-85181,669$

Dec$-85239,813$

Mar$-86159,980$

Jun$-86164,760$

Sep$-86224,800$

Dec$-86298,469$

Mar$-87211,060$

Jun$-87217,753$

Sep$-87273,616$

Dec$-87359,592$

Seasonal Indexes Value

Index $10\mathrm{.}84$

Index $20\mathrm{.}80$

Index $31\mathrm{.}03$

Index $41\mathrm{.}33$

A portion of the estimate using ForecastX for forecasting GAP sales is shown. Keep in mind that the first quarter appearing in the data is calendar quarter $1.$ "Index $4"$ of $1\mathrm{.}33$ means

Multiple Choice

that approximately $1\mathrm{.}33$ times each previous month$$s sales will predict next month$$s sales.

that four quarters into the future, sales will have risen to $133\%$ of average.

sales at GAP are expected to rise about $33\%$ for each quarter in the future.

quarter $4$ sales averaged $133\%$ of sales in an average quarter.