Help with time series questions below

Question 6 Which set of seasonal indexes are valid for an additive model applied on a quarterly time series? Group of answer choices 27, -20, -2, -1 1.2, 1.1, 0.8, 0.9 0.9, 1.0, 1.0, 1.1 -10, -20, 10, 20 Question 7 For a quarterly sales time series, say the cyclical index at some quarter is 1.1. Then, Group of answer choices Sales is 10% less than typical quarterly average. Sales is 10% more than the average long-term sales for that quarter. Sales is 10% more than typical quarterly average. Sales is 10% less than the average long-term sales for that quarter. Question 8 Your sales forecast for Q1 of 2019 is $1,000,000. Say, based on historical quarterly sales, the seasonal indexes are 0.85, 1.05, 1.10, 1.00. Which of the following can be used as the yearly projection for 2019? Group of answer choices 4, 705, 882 3, 809, 524 4,000,000 3, 636, 364 Question 9 Say, the seasonal indexes of your monthly sales are all fairly close to 1. Group of answer choices Monthly variations in sales are quite low. The seasonally adjusted sales and actual sales will be significantly different. The observed monthly variations in sales can be reduced via contra-seasonal marketing tools Seasonality is of an additive type. Question 10 Using time series decomposition, your sales forecast for Q1 is $1000000. Based on your historical sales time series, the seasonal index for Q1 is $100000. The trend forecast for Q1 is $750000. Then, the cyclical forecast is given by Please do not add any comma in your answer. Question 11 This question is based on your assignment 2 and my goal is to check retention of one of the main take away of the assignment. The company will have less grape juice to sell if Group of answer choices It sets wine sales forecast at 97.5% upper limit value It sets wine sales forecast at 90% upper limit value It sets wine sales forecast at 95% upper limit value It sets wine sales forecast at 99% upper limit value