Question 1 (1 point) The error in the forecast for Period 5 when Three period moving average forecast method is used:(Please round to 2 decimals for your answer which looks like 0.52) 3-Period MA Forecast Error Absolute Absolute Percent Error Error Squared Error X(Period) Y(Sales) 1 3 2 6.1 3 10.7 4 5.0 5 17 16 12 7 Your Answer: Answer Question 2 (1 point) Saved What will be the demand without seasonal impact if the actual demand is 250 and the seasonal index is 0.65? Question 3 (1 point) A restaurant prepares 199 sandwiches and sells them at a rate of $12.2/sandwich. Expenses for the restaurant include raw material for a sandwich at $8.3 per sandwich, $103.3 as monthly rental and $50 monthly as insurance. Restaurant is open only for 27 days in a month. Today the restaurant could only sell 177 sandwiches. Unsold sandwiches can be sold to a food truck for $6.0/sandwich. The cost of lost sales is $2.75/sandwich. How much profit could the restaurant earn today? (Answer with 1 decimal places) Your Answer: Answer Question 4 (1 point) Build the Opportunity Loss (Regret) table for the below data and answer the following question. DA: Decision Alternative. State of Nature Inecision Alternative Good Bad Question 4 (1 point) Build the Opportunity Loss (Regret) table for the below data and answer the following question. DA: Decision Alternative. State of Nature Decision Alternative Good Bad DA1 5.01 -3.0 DA2 -5.6 8.1 DA3 9.2 o DA4 -5.31 5.2 A decision of DA2 would mean an opportunity loss of (Round to 1 decimal place) in state of nature Good. Your Answer: Answer Question 5 (1 point) Consider the following payoff table: DA: Decision Alternative. of States Excellent Nature Poor Decision Alternative Good Fair DA1 81 81 7 6 13 Question 5 (1 point) 3 Consider the following payoff table: DA: Decision Alternative. States of Nature Decision Alternative Excellent Good Fair Poor DA1 8 8 6 DA2 4 12 10 13 DA3 7 3 2 -10 DA4 -5 6 12 17 What is the payoff for DAZ (Decision Alternative 2) and State of nature Good? Your Answer: 12 5 Answer Question 6 (1 point) Based on the following new information. Given a product had high demand, what is the probability it had a negative survey? Positive Survey Negative Survey High product demand 0.61 Low Product Demand 0.84 Your