Over the past 14 months,the monthly percentages of all shipments received on time are Monthy Proportion of On Tme Shipments 72 81 78 90 83 85 90 82 89 81 85 84 78 88 What is MSE using exponential smoothing forecast for α=0.3? (keep 2 decimal points)
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Over the past 14 months,the monthly percentages of all shipments received on time are
| Monthy Proportion of On Tme Shipments |
| 72 |
| 81 |
| 78 |
| 90 |
| 83 |
| 85 |
| 90 |
| 82 |
| 89 |
| 81 |
| 85 |
| 84 |
| 78 |
| 88 |
What is MSE using exponential smoothing forecast for α=0.3? (keep 2 decimal points)
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- Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?What is the y -intercept on the graph of the logistic model given in the previous exercise?What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?
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- A pizza chain has had sales for take-out food over the last four evenings—Monday, Tuesday, Wednesday, and Thursday—of 29, 25, 35, and 30 pizzas, respectively.What would be their forecast for Friday using an exponential smoothing forecastingapproach? Use α = 0.2 and a forecast for Monday of 28.The manager of a popular tourist resort wants to use the manual trend projection forecasting technique and exponential smoothing without trend to forecast room occupancy at the resort for the next 4 years. Using numerical example, demonstrate how these techniques can be used to do the forecast.For the Philippines Basketball Association (PBA) 2013-2014 season, San Mig James Yap was the scoring leader with an average of 33 points per game. The following data shows the average of points per game for the scoring leader from the 2008-2009 season to the 2013-2014 season. Season Average 2008-2009 25 2009-2010 35 2010-2011 29 2011-2012 34 2012-2013 35 2013-2014 33 Use exponential smoothing to forecast this time series. Consider smoothing constant of ɑ = 0.20 and ɑ = 0.30. What value of the smoothing constant provides the best forecast/ What is the forecast of the leading scoring average for the 2014-2015 season? Graph the forecast at ɑ = 0.30.
