he following data were collected during a study of consumer buying patterns: Observation       x     y   Observation     x    y         1                19  72           8            20  77         2                21  81           9            17  73          3                43  79          10           13  77         4                28  81          11           20  85         5                56  98          12           28  93         6                49  96          13           34  94         7                32  82          14

Use regression or simple exponential smoothing with the following data. For exponential smoothing, assume the forecast for year 1 was the same as the actual and use an alpha of 0.7. (use excel to show formauls used)  Year Sales 1 290 2 340 3 400 4 410 5 400   1. What is the tracking signal for the forecast?

1- A pharmacist has been monitoring sales of certain over-the-counter pain reliever. Daily sales during the last 15 days were as follows: Day 1 2 3 4 7 8 9 Number sold 36 38 42 44 48 49 50 49 52 Day 10 11 12 13 14 15 Number sold 48 52 55 54 56 57 a: By using linear regression method predict the future sales for the next 5 days (please do all calculations in excel and send the excel file with answers included as your response) b: calculate the MSE for the prediction of these 15 days. (again by using Excel) 1- Explain how QFD can be employed for designing a new restaurant in your region in Iraq? (at least 100 words) 2- A producer of inkjet printers is planning to add a new production line of printers, and you have been asked to balance the process, given the following task times and precedence relationships. Assume the cycle time is to be minimum possible (based on the bottleneck). Immediate Length (minutes) Task (Predecessor) a 0.2 b 0.4 a 0.3 d 1.3 b, c e 0.1 f 0.8 e g 0.3 d, f 1.2 g a…

data table below shows the number of computers sold at the Best Buy Store in a week, based on online ads.   Online Ad               Computers Sold   2                               25        1                               10 4                               30 1                               10 2                              25 sigma)x=10                        sigma)y=100 draw the graph of the regression equation, showing the slope and y intercepts?

How would you choose the appropriate number of factors to use in a forecasting model and how would you build a factor augmented VAR.

The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 410 381 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.67 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.20, 0.35, and 0.45, using 0.45 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.)

8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True False

What is 'forecasting error'? What are the metrics used in measuring forecasting errors?

The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4​ months:      Jan    Feb    Mar    AprMonth    1    2    3    4Number of Accidents    25    40    60    105 Using the least-squares regression method, the trend equation for forecasting is ​(round your responses to two decimal places)​: y = ? + ?x

The following table gives the number of pints of type A blood used at Woodlawn Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places) b) Using a 3-week weighted moving average, with weights of 0.10, 0.30, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and α = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). Week Of August 31 September 7 September 14 September…