Assume you collected a quarterly sales data (in millions of dollars) over a four-year period from the first quarter 2016 to the fourth quarter 2019, and computed the seasonal index for each quarter. If (actual) sales were 221 in the fourth quarter of 2018 and the (normalised) seasonal index for the fourth quarter was 0.98, what is the deseasonalised sales value (in millions of dollars) in the fourth quarter of 2018? Round your answer to two decimal places.

Assume you collected a quarterly sales data (in millions of dollars) over a four-year period from the first quarter 2016 to the fourth quarter 2019, and computed the seasonal index for each quarter. If the (normalised) seasonal index for the third quarter is 0.96, then we can interpret it as follows. a. In the third quarter, sales are 4% below the annual average. b. There is a 96% difference in sales between the third quarter and the fourth quarter. c. In the third quarter, sales are 96% below the annual average. d. There is a 4% difference in sales between the first quarter and the third quarter.

Following is the sale record of a product in year 2020:Spring = 1,040 unitsSummer = 1,427 unitsFall = 902 unitsWinter = 707 unitsRequired: Determine Seasonality Index for Winter?Important Instruction: Write your answer up to three decimal places.

Assume you first collected a quarterly sales data (in millions of dollars) over a four-year period from the first quarter 2016 to the fourth quarter 2019 then computed (the normalised) seasonal index for each quarter using ratio-to-moving-average method, and finally fitted a linear trend model based on the deseasonalised sales data and a time period (X), coded as 0, 1, ......, n. If the estimated coefficients of the intercept and X (time period) are 153.93 and 6.01, respectively, what is the seasonally adjusted forecast value of sales (in millions of dollars) for the third quarter of 2020? Round your final answer to two decimal places. Assume the (normalised) seasonal indices for the quarterly sales data are 1.04, 1.02, 0.96 and 0.98 for quarters 1, 2, 3 and 4, respectively.

Suppose that in 1994 the total output in a single-good economy was 10,000 buckets of chicken. Also suppose that in 1994 each bucket of chicken was priced at $16. Finally, assume that in 2015 the price per bucket of chicken was $20 and that 22,000 buckets were produced. Instructions: In parts a-b, enter your answer rounded to 1 decimal place. In part c, enter your answers as a whole number. a. What is the GDP price index for 1994, using 2015 as the base year?       b. By what percentage did the price level, as measured by this index, rise between 1994 and 2015?      percent c. What were the amounts of real GDP in 1994 and 2015?      In 1994, real GDP = $       In 2015, real GDP = $

Following is the sale record of a product in year 2020 & 2021:Year Spring Summer Fall Winter2020 1000 units 1500 units 1000 units 700 units2021 1100 units 1400 units 1100 units 600 unitsRequired: Determine De-seasonalized Sale Value (in units) for Spring, 2020?Important Instruction: Round your answer to the nearest integer.