Please see attached document

Please see attached document
1) Use the following data to calculate the MAPD of the forecasts.  Period Demand Forecasts 256 — 270 245 248 245 265 256 244 243  Keep two decimal places in your calculations.  Period AbsolutePercentage Errors — Calculate the mean absolute percentage deviation (MAPD) of the forecasts? 2) The following is the data for the number of complains a telephone company received during the past 5 weeks for the service they offer. Use the data to forecast the number of complaints for week 6, based on the following methods:  Week Demand 111 100 105 112 114  Naive approach.Simple moving average with span of 3.Weighted moving average with weights of 0.55, 0.25, and 0.2.Simple exponential smoothing with smoothing factor of 0.4.Keep two decimal places in your calculations.  Week Forecast: Naïve Forecast: Simple Moving Average Forecast: Weighted Moving Average Forecast: Exponential Smoothing — — — — — — — — — — — — — — — —  3) Use the following data to calculate the MAD and MSE of the forecasts.  Period Demand Forecasts 256 — 270 258 248 254 265 251 244 259    Period Absolute Error — Calculate the mean absolute deviation (MAD) of the forecasts? Calculate the mean squared errors (MSE) of the forecasts? 4) Consider the following data. We want to monitor the forecasts.  Period Demand Forecasts 274 — 261 274 294 261 294 294 307 294  Calculate the UCL and LCL for the appropriate control chart to control magnitude of errors?Calculate the cumulative error, MAD, and tracking signals of periods 2 through 5 and determine if the forecasts are biased.Keep two decimal places in your calculations .  Period Errors Cumulative Errors MADs Tracking Signals — — — — … … … … … … … 5) Top of Form Are forecast errors biased? (Yes/No)   5) Consider the following data. We want to monitor the forecasts.  Period Demand Forecasts 276 — 247 276 297 247 284 297 310 284  Calculate the UCL and LCL for the appropriate control chart to control magnitude of errors?overall MSE:  UCL? LCL? Are forecast errors in control? 6) Develop a linear trend equation for the following data. Then use the equation to predict the demand of period 7 and 8.  Period Demand   122   140   140   144   134   152 Sum 21 832  Sum of (Period Squared):  Sum of (Period*Demand) Intercept? Slope? Forecast of period 7? 8?