Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 18 11 14 10 17 12 (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 17 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (c) Use ? = 0.2 to compute the exponential smoothing values for the time series. Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 17 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (e) Use ? = 0.4 to compute the exponential smoothing values for the time series. Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 17 6 12
Selective Demand Advertising
Advertising includes communicating with people regarding a product or any service or an idea to sell or promote them. Advertising attracts the consumer towards a specific brand or to a product of a brand which enables them to buy products from that company and hence the company can prosper. Advertising is important both for the company which is in the industry for a longer period of time and even for those who are just starting up with their business. These days it is found that not only the transmission of the messages of a particular brand is done through television or radio but also it is done on the social media platform. Particularly for homegrown brands, social media has become one of the most important platforms which promote the advertising of their products and attract consumer to demand the same. The strategy to have a good advertising background is important for marketing a particular company or a brand.
Primary Demand Advertising
This topic is significant in the professional exams for both undergraduate and graduate courses, especially for
| Week | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| Value | 18 | 11 | 14 | 10 | 17 | 12 |
| Week | Time Series Value |
Forecast |
|---|---|---|
| 1 | 18 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 12 |
| Week | Time Series Value |
Forecast |
|---|---|---|
| 1 | 18 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 12 |
| Week | Time Series Value |
Forecast |
|---|---|---|
| 1 | 18 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 12 |
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