Consider the following time series data. Week 1 2 34 Value 19 11 16 10 17 12 5 6 (a) Construct a time series plot. 20 20 18 20 18 18 16 16 14 12 12 10 8. 6- 8- 4- 6- 4- 6- 4- 6. 4 2 2- 2 2 2 3. 4. 6 7 0+ 2 3 4 5 6. 7. 3. 5. 1 2. 3. 5 6 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. O The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Value Week Forecast 1 19 1 3 16 10 28 44 17 21.78 Jx 12 5.44 Compute MSE. (Round your answer to two decimal places.) MSE - 18.56 What is the forecast for week 7? 13
Consider the following time series data. Week 1 2 34 Value 19 11 16 10 17 12 5 6 (a) Construct a time series plot. 20 20 18 20 18 18 16 16 14 12 12 10 8. 6- 8- 4- 6- 4- 6- 4- 6. 4 2 2- 2 2 2 3. 4. 6 7 0+ 2 3 4 5 6. 7. 3. 5. 1 2. 3. 5 6 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. O The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Value Week Forecast 1 19 1 3 16 10 28 44 17 21.78 Jx 12 5.44 Compute MSE. (Round your answer to two decimal places.) MSE - 18.56 What is the forecast for week 7? 13
Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
Problem 24SE: Table 6 shows the year and the number ofpeople unemployed in a particular city for several years....
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