Exam requirements help us ensure exam integrity and help red…

Exam requirements help us ensure exam integrity and help reduce false flags so that you don’t inadvertently jeopardize your opportunity to do the course bonus. The questions below remind you of the requirements, which you’ll certify by answering that you have followed or will be following: A. My ID image clearly shows the front of my UW ID (or instructor approved alternate photo ID). [uwid]B. My scan clearly shows my 360 room/space scan and also my entire work surface (i.e., desk, table top). [scan] C. I will keep my face and upper body clearly and continuously in view of my camera. I am not wearing a hat or face covering, the lighting clearly shows my face, and I will not move out of the camera view. [view] D. I’m in a quiet room/space. There will be no music, no talking including me talking aloud, or other sounds. [quiet] E. I’m in a private room/space. There will be no interruptions, no people in the background or passing through my video. [private]F. My work surface is uncluttered. It only has my scratch paper and a couple pencils and/or pens. [worksurface] G. I will not use any other devices or sources. I’ve turned off, put out of reach and out of sight any phones, smartwatches, calculators, headphones/earbuds, etc. and have covered any additional monitors so that they can’t be used. I understand this is a closed-book exam. [closed]H. I will use the online form to report any issue that might compromise the integrity of my exam, such as disconnections and accidental interruptions. [report] Finish this question by showing to the camera both sides of each sheet of your loose scratch paper (2 sheets maximum). Now you may continue with the exam.

Using the data below, with a smoothing constant of 0.1 for t…

Using the data below, with a smoothing constant of 0.1 for the base and 0.6 for the trend, compute a trend-adjusted exponential smoothing forecast for period 2. (You are now at the end of period 1.)  Period     At         Ft        Tt   1          640      510       80   2

For the next 2 questions, suppose the following had been com…

For the next 2 questions, suppose the following had been computed for a set of past forecasts. If the “one-number forecast for next period was 1000, what are the lowest and highest demands that we can possibly expect for next period, using a 99.7% confidence level? MSE = 126               MAPE = 21              Tracking Signal = +5                  MAD = 8

Suppose you have the following information from a forecastin…

Suppose you have the following information from a forecasting software package. There are three seasons (terms) each year, and the demand data shown below are for the last 2 academic years (Fall, Spring, and Summer of each year).  You are now sitting at the end of period 9, which is the last term of the third year.  (Note:  The best-fit line equation shown below was made up by me; it may not actually be the true equation if you were to do an analysis of this data.) Demand = 310 + 10 (time)   What would be the forecast for the Spring term of 2024, if you didn’t care about adjusting for any seasonality?

Suppose the following had been computed for a set of past fo…

Suppose the following had been computed for a set of past forecasts. If the “one-number forecast” for next period was 1000, what are the lowest and highest demands that we can possibly expect for next period, using a 99.7% confidence level? MSE = 126               MAPE = 21              Tracking Signal = +5                  MAD = 8 Which of the following would be true about the forecasting method being used?    I.  the method tends to over-forecast   II.  the method misses by 126 units on average  III.  the method has been missing by an average of 8%