Truthfully lost with this question

Consider a three-fim supply chain consisting of a retailer, manufacturer, and supplier. The retailer's demand over an 8-week period was 110 units each of the first 2 weeks, 190 units each of the second 2 weeks, 280 units each of the third 2 weeks, and 420 units each of the fourth 2 weeks. The following table presents the orders placed by each firm in the supply chain. Notice, as is often the case in supply chains due to economies of scale, that total units are the same in each case, but firms further up the supply chain (away from the retailer) place larger, less frequent, orders. Click the icon to view the orders placed by each firm in the supply chain. Click the icon to view the ways of calculating the variance. a) What is the bullwhip measure for the retailer? The bullwhip measure for the retailer is (Enter your response rounded to two decimal places.) b) What is the bullwhip measure for the manufacturer? The bullwhip measure for the manufacturer is (Enter your response rounded to two decimal places.) c) What is the bullwhip measure for the supplier? The bullwhip measure for the supplier is (Enter your response rounded to two decimal places.) d) What condusions can you draw regarding the impact that economies of scale may have on the bullwhip effect? Select all of the correct statements below. A. Larger, less frequent orders imply a larger variance of orders. B. Larger, less frequent orders imply a smaller variance of orders. C. The effect of decreasing variance of orders with the less frequent orders could be reduced via channel coordination by determining lot sizes. D. The effect of increasing variance of orders with the less frequent orders could be reduced via channel coordination by determining lot sizes. 1: More Info Wook Retaller Manufacturer Supplier 110 220 110 190 380 190 280 560 1 400 280 420 840 420 2: More Info Recall that the sample variance of a data set can be found by using the VAR.'S function in Excel or by plugging each value x of the data set into the formula: Variance = (n - 1) where x is the mean of the data set and n is the number of values in the set