Question: Question 1 (1 point) The following is an excerpt from a seasonal forecast. Calculate the seasonal relative for Tuesday, rounded to the second decimal place,

Question 1 (1 point) The following is an excerpt from a seasonal forecast. Calculate the seasonal relative for Tuesday, rounded to the second decimal place, understanding that the "Trend" value represents a 7-period moving average. Day Actual ($) Trend ($) Tuesday 28916.54 27849.97 Your Answer: Answer Question 2 (1 point) Consider the table below, detailing the actual and forecasting demand for electricity generated by a power station, in megawatts (MW). What is the mean squared error for this forecasting model? Round your answer to the first decimal place. Month Actual Demand (MW) Forecast Demand (MW) June 20.0 23.6 July 39.2 32.6 August 45.4 49.5 Your Answer: Answer Question 3 (1 point) A linear regression model is used to forecast deseasonalized monthly data. The resulting model is: F = 851 +27t where t represents the tth time step in the dataset. More specifically, t = 1 for the month of April, 2020. What is the forecast value for the actual dataseries for September, 2020 if the seasonal relative for September is 1.29? Round your answer to the nearest integer value. Your Answer: Answer Question 4 (1 point) Consider the table below detailing the demand volume of fuel purchased in March and April. Using a smoothing constant of 0.3, use Exponential Smoothing to forecast the expected demand in May. Round your answer to the closest integer value. Month Actual Demand (kg) March 1000 April 1125 Your

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