The average weekly sales for a clothing store between 2004 and 2008 are given below. Average Weekly Sales for a Clothing Store Year 2004 2005 2006 2007 2008 Thousand Dollars 38.94 53.58 63.88 72.08 68.15 (a) What behavior suggested by a scatter plot of the data indicates that a quadratic model is appropriate? O a single concavity with a change in direction. O no concavities O two concavities with no change in direction O a single concavity with no change in direction (b) Align the input that t=0 in 2000. Find a function for quadratic model for the data that gives the average weekly sales for the clothing store i thousand dollars, with data from 4 Sts 8. (Round all numerical values to three decimal places.) s(t) = (c) Numerically estimate the derivative of the model from part (b) in 2007 to the nearest hundred dollars. per year (d) Interpret the answer to part (c).

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### Average Weekly Sales for a Clothing Store (2004-2008)

The average weekly sales for a clothing store between 2004 and 2008 are given below:

#### Average Weekly Sales for a Clothing Store

| Year | Thousand Dollars |
|------|------------------|
| 2004 | 38.94            |
| 2005 | 53.58            |
| 2006 | 63.88            |
| 2007 | 72.08            |
| 2008 | 68.15            |

### Analysis Questions:

**(a)** What behavior suggested by a scatter plot of the data indicates that a quadratic model is appropriate?

- **Options:**
  - A single concavity with a change in direction
  - No concavities
  - Two concavities with no change in direction
  - A single concavity with no change in direction

**(b)** Align the input so that \( t = 0 \) in 2000. Find a function for the quadratic model for the data that gives the average weekly sales for the clothing store in thousand dollars, with data from \( 4 \leq t \leq 8 \). (Round all numerical values to three decimal places.)

\[ s(t) = \_\_\_\_\_\_ \]

**(c)** Numerically estimate the derivative of the model from part (b) in 2007 to the nearest hundred dollars.

\[ \text{Estimated Derivative: } \$ \_\_\_\_ \text{ per year} \]

**(d)** Interpret the answer to part (c).

In 2007, the average weekly sales for the clothing store were 
\[ \_\_\_\_\_ \] 
by 
\[ \$ \_\_\_\_ \text{ per year} \].
Transcribed Image Text:### Average Weekly Sales for a Clothing Store (2004-2008) The average weekly sales for a clothing store between 2004 and 2008 are given below: #### Average Weekly Sales for a Clothing Store | Year | Thousand Dollars | |------|------------------| | 2004 | 38.94 | | 2005 | 53.58 | | 2006 | 63.88 | | 2007 | 72.08 | | 2008 | 68.15 | ### Analysis Questions: **(a)** What behavior suggested by a scatter plot of the data indicates that a quadratic model is appropriate? - **Options:** - A single concavity with a change in direction - No concavities - Two concavities with no change in direction - A single concavity with no change in direction **(b)** Align the input so that \( t = 0 \) in 2000. Find a function for the quadratic model for the data that gives the average weekly sales for the clothing store in thousand dollars, with data from \( 4 \leq t \leq 8 \). (Round all numerical values to three decimal places.) \[ s(t) = \_\_\_\_\_\_ \] **(c)** Numerically estimate the derivative of the model from part (b) in 2007 to the nearest hundred dollars. \[ \text{Estimated Derivative: } \$ \_\_\_\_ \text{ per year} \] **(d)** Interpret the answer to part (c). In 2007, the average weekly sales for the clothing store were \[ \_\_\_\_\_ \] by \[ \$ \_\_\_\_ \text{ per year} \].
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