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.

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.

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.

At the beginning of 2016, an inventory contains 55,000 units. It is estimated that 120,000 units will be used during the year. It is intended that inventory be reduced to 40,000 units at the end of the year. How many units should be purchased during the year?

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.

A retail company collects sales data at its stores on a daily basis. The shops open 7 days per week. They have found by plotting the data that sale figures on Saturday and Sunday are higher than other days of the week. If they would like to fit a time series regression model with trend and seasonality components, how many seasonal dummies do they need to create? [Answer as an integer]