Problem: Over the past 12 months the Four Winds Novelty Company firm has recorded its internet sales (equals monthly output levels) and its monthly total variable costs (TVC) for a particular novelty item as shown in the following table. Sales have grown over this period with relatively few shocks due to uncontrollable weather, political and sporting events. This online retailer carries no inventories; when it receives a pre-paid on-line order from a customer, it simply buys the product from a supplier and ships it out to the customer.
Sales = Output TVC ($)
102,813
176,163
196,121
222,885
226,356
296,416
378,446
450,666
579,696
607,082
624,680
636,133
TVC
201,953
340,608
377,940
432,863
441,714
629,267
867,596
1,103,807
1,701,125
1,917,861
2,195,352
2,479,195
Q1. Using regression analysis, find an equation that best fits the data to represent the TVC function. (I was able to duplicate the example in the book for the cubic equation, but not the quadratic or linear equations -- I must be doing something wrong in the excel regression analysis, but I don't know what). I also do not completely understand how to interpret the output of the analysis to determine best fit.
Q2. At what sales/output level will marginal costs (MC) reach a minimum?
Q3. Estimate the value of TVC for sales/output level 250,000 units, and calculate the 95% confidence interval for your estimate.