4-Week 5-Week Week Sales Moving Average Moving Average 1 17 21 3 19 4 23 5 18 6. 16 20 8 18 9 22 10 20 11 15 12 22 b. Compute the MSE for the four-week and five-week moving average forecasts. Round your intermediate calculations to four decimal places and round your final answers to two decimal MSE for four-week moving average = MSE for five-week moving average =

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Chapter2: Second-order Linear Odes
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**Problem 15-07**

Refer to the gasoline sales time series data in the given table.

**GASOLINE SALES TIME SERIES**

| Week | Sales (1000s of gallons) |
|------|--------------------------|
| 1    | 17                       |
| 2    | 21                       |
| 3    | 19                       |
| 4    | 23                       |
| 5    | 18                       |
| 6    | 16                       |
| 7    | 20                       |
| 8    | 22                       |
| 9    | 22                       |
| 10   | 21                       |
| 11   | 15                       |
| 12   | 22                       |

This table represents the time series data for gasoline sales measured in thousands of gallons over a period of 12 weeks. Each row corresponds to a specific week and the corresponding sales volume in thousands of gallons. The data can be used to analyze trends, seasonality, or other patterns in gasoline sales over the given weeks.
Transcribed Image Text:**Problem 15-07** Refer to the gasoline sales time series data in the given table. **GASOLINE SALES TIME SERIES** | Week | Sales (1000s of gallons) | |------|--------------------------| | 1 | 17 | | 2 | 21 | | 3 | 19 | | 4 | 23 | | 5 | 18 | | 6 | 16 | | 7 | 20 | | 8 | 22 | | 9 | 22 | | 10 | 21 | | 11 | 15 | | 12 | 22 | This table represents the time series data for gasoline sales measured in thousands of gallons over a period of 12 weeks. Each row corresponds to a specific week and the corresponding sales volume in thousands of gallons. The data can be used to analyze trends, seasonality, or other patterns in gasoline sales over the given weeks.
### Moving Averages and Mean Squared Error (MSE) Calculation

In this exercise, we will compute the four-week and five-week moving averages for a time series of sales data. We will round our answers to two decimal places. Additionally, we will compute the Mean Squared Error (MSE) for both the four-week and five-week moving averages based on the provided data.

#### a. Four-Week and Five-Week Moving Averages

The table below displays the weekly sales data along with blank columns where we will calculate the moving averages.

| Week | Sales | 4-Week Moving Average | 5-Week Moving Average |
|------|-------|------------------------|------------------------|
| 1    | 17    |                        |                        |
| 2    | 21    |                        |                        |
| 3    | 19    |                        |                        |
| 4    | 23    |                        |                        |
| 5    | 18    |                        |                        |
| 6    | 16    |                        |                        |
| 7    | 20    |                        |                        |
| 8    | 22    |                        |                        |
| 9    | 15    |                        |                        |
| 10   | 20    |                        |                        |
| 11   | 15    |                        |                        |
| 12   | 22    |                        |                        |

To compute the moving averages for weeks 5 to 12, follow these steps:

**Four-Week Moving Average**
- Calculate the average of the previous 4 weeks sales for each week starting from week 5.
- For example, the four-week moving average for week 5 = (Sales for week 1 + Sales for week 2 + Sales for week 3 + Sales for week 4) / 4.

**Five-Week Moving Average**
- Calculate the average of the previous 5 weeks sales for each week starting from week 6.
- For example, the five-week moving average for week 6 = (Sales for week 1 + Sales for week 2 + Sales for week 3 + Sales for week 4 + Sales for week 5) / 5.

#### b. Mean Squared Error (MSE)

The Mean Squared Error (MSE) is a measure of the quality of an estimator—it is always non-negative, and values closer to
Transcribed Image Text:### Moving Averages and Mean Squared Error (MSE) Calculation In this exercise, we will compute the four-week and five-week moving averages for a time series of sales data. We will round our answers to two decimal places. Additionally, we will compute the Mean Squared Error (MSE) for both the four-week and five-week moving averages based on the provided data. #### a. Four-Week and Five-Week Moving Averages The table below displays the weekly sales data along with blank columns where we will calculate the moving averages. | Week | Sales | 4-Week Moving Average | 5-Week Moving Average | |------|-------|------------------------|------------------------| | 1 | 17 | | | | 2 | 21 | | | | 3 | 19 | | | | 4 | 23 | | | | 5 | 18 | | | | 6 | 16 | | | | 7 | 20 | | | | 8 | 22 | | | | 9 | 15 | | | | 10 | 20 | | | | 11 | 15 | | | | 12 | 22 | | | To compute the moving averages for weeks 5 to 12, follow these steps: **Four-Week Moving Average** - Calculate the average of the previous 4 weeks sales for each week starting from week 5. - For example, the four-week moving average for week 5 = (Sales for week 1 + Sales for week 2 + Sales for week 3 + Sales for week 4) / 4. **Five-Week Moving Average** - Calculate the average of the previous 5 weeks sales for each week starting from week 6. - For example, the five-week moving average for week 6 = (Sales for week 1 + Sales for week 2 + Sales for week 3 + Sales for week 4 + Sales for week 5) / 5. #### b. Mean Squared Error (MSE) The Mean Squared Error (MSE) is a measure of the quality of an estimator—it is always non-negative, and values closer to
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