Consider the following time series data. Week 1 Value 17 2 (b) mean squared error MSE = 14 3 % 4 5 сл 15 10 18 (d) What is the forecast for week 7? Using the naive method (most recent value) as the forecast for the next week, compute the following. (a) mean absolute error MAE = 6 15 (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE =

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**Time Series Data Analysis**

Consider the following time series data:

| Week | 1  | 2  | 3  | 4  | 5  | 6  |
|------|----|----|----|----|----|----|
| Value| 17 | 14 | 15 | 10 | 18 | 15 |

Using the naive method (most recent value) as the forecast for the next week, compute the following:

(a) **Mean Absolute Error (MAE)**  
MAE = [____]

(b) **Mean Squared Error (MSE)**  
MSE = [____]

(c) **Mean Absolute Percentage Error (MAPE)** (Round your answer to two decimal places.)  
MAPE = [____] %

(d) **What is the forecast for week 7?**  
[____]
Transcribed Image Text:**Time Series Data Analysis** Consider the following time series data: | Week | 1 | 2 | 3 | 4 | 5 | 6 | |------|----|----|----|----|----|----| | Value| 17 | 14 | 15 | 10 | 18 | 15 | Using the naive method (most recent value) as the forecast for the next week, compute the following: (a) **Mean Absolute Error (MAE)** MAE = [____] (b) **Mean Squared Error (MSE)** MSE = [____] (c) **Mean Absolute Percentage Error (MAPE)** (Round your answer to two decimal places.) MAPE = [____] % (d) **What is the forecast for week 7?** [____]
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