Campus Advising needs to allocate time this week for office appointments, so she needs te forecast the number of students who will seek appointments. The advisor has gathered the following time series data recently: Period Student Appointments 4 weeks ago 95 3 weeks ago 80 2 weeks ago 65 Last week 50 Answer the next two questions (questions 11 and 12), based on this information. What is this week's forecast for student appointments using a three-week moving average? 11. a) 80 b) 50 c) 52

How can we say that Sample Average is the Efficient Linear Estimator of E(Y)?

In Colorado, sales of medical marijuana began in November 2012; however, the Department of Revenue did not report tax collection data until February of 2014. The accompanying data file includes monthly revenue from medical and retail marijuana tax and fee collections as posted in the Colorado state accounting system. Use the linear trend model (no seasonality) to forecast the tax revenue for November and December of 2018. Date    Revenue February/14     3,519,756 March/14     4,092,575 April/14     4,980,992 May/14     5,273,355 June/14     5,715,707 July/14     6,522,085 August/14     7,407,450 September/14     7,741,167 October/14     7,232,870 November/14     7,642,800 December/14     7,465,568 January/15     8,558,141 February/15     8,802,295 March/15     9,099,395 April/15     9,979,643 May/15     10,617,311 June/15     11,326,452 July/15     10,856,584 August/15     12,811,437 September/15     13,181,758 October/15     11,656,736 November/15     11,290,012 December/15…

10.61 The per-store daily customer count (i.e., the mean number of customers in a store in one day) for a nationwide convenience store chain that operates nearly 10,000 stores has been steady, at 900, for some time. To increase the customer count, the chain is considering cutting prices for coffee beverages. The question to be determined is how much to cut prices to increase the daily customer count without reducing the gross margin on coffee sales too much. You decide to carry out an experiment in a sample of 24 stores where customer counts have been running almost exactly at the national average of 900. In 6 of the stores, the price of a small coffee will now be $0.59, in 6 stores the price of a small coffee will now be $0.69, in 6 stores, the price of a small coffee will now be $0.79, and in 6 stores, the price of a small coffee will now be $0.89. After four weeks of selling the coffee at the new price, the daily customer count in the stores was recorded and stored in . At the 0.05…

these are the dataset College Distance,Dist,Ed0.7,122.2,120.3,160,123.6,121,140.1,150.5,140.3,160.4,121,127.5,120.5,121.8,122.5,141.7,160.5,161,120.5,153,163.6,135,162,120.3,123,121.3,140.5,163.5,162,153.2,120.7,130.5,130.7,130.3,121,121.5,121.2,166.5,120.7,135,152.5,150.1,160,161,120.5,130.2,160.4,132.6,151,130.3,120.5,150.5,171.5,174,124,140,131.5,120.1,122,120.3,160.1,144,163,122.2,120.1,120.7,150.3,153.3,150.1,130.7,153.5,122.6,125,157,120.8,120.3,150.8,130.5,120.5,150.8,131.5,120.3,120.3,1515,164.5,142.5,131.1,121.5,120.3,170,120.1,174,125.6,124.5,130.2,152.5,1216,120.5,130.2,122,16

Do not use software on this question.  Use pencil, paper, and your calculator to calculate the values of both the mean and the median for this sample data. Here are the snowfall amounts for 12 more-than-a-trace snowfalls for this February 2020 and March 2020 (rounded to the nearest inch): 4  0  6  6  0  6  0  9  2  3  1  2   Using just the values for the median and the mean, is the distribution symmetric or skewed? If skewed, which direction? A. Skewed left since mean < median B. Symmetric since mean is about the same as the median C. Skewed left since mean > median D. Skewed right since mean < median E. Skewed right since mean > median

(a) A monopolist sells its product to two types of customers, business customers and other customers. The monopolist's total cost is given by TC 20 + 2Q, where Q denotes total output, so the marginal cost is equal to 2. Let P denote price. The demand of business customers is given by Q" 14- P. The demand of other customers is Q° = 5-0.5P. Note that you may need to allow price to differ between markets and possibly for different units purchased. (i) Define third-degree price discrimination. Assuming that such discrimination between the two groups is possible, calculate the price that the monopolist will set for business customers, the price it will set for other customers and the firm's total profit. (ii) Define first-degree price discrimination. Assuming that such discrimination is possible, how much will the monopolist sell to each group? Calculate the firm's total profit. (iii) Which gives higher profit, the pricing scheme in part (i) or that in part (ii)? Is this a general result or…

Suppose that you work for a U.S. senator who is contemplating writing a bill that would put a national sales tax in place. Because the tax would be levied on the sales revenue of retail stores, the senator has asked you to prepare a forecast of retail store sales for year 8, based on data from year 1 through year 7. The data are: (c1p2) Year Retail Store Sales 1 $1,225 2 1,285 3 1,359 4 1,392 5 1,443 6 1,474 7 1,467 54 Chapter One a. Use the first naive forecasting model presented in this chapter to prepare a forecast of retail store sales for each year from 2 through 8. b. Prepare a time-series graph of the actual and forecast values of retail store sales for the entire period. (You will not have a forecast for year 1 or an actual value for year 8.) c. Calculate the root-mean-squared error for your forecast series using the values for year 2 through year 7. 3. Use the second naive forecasting model presented in this chapter to answer parts (a) through (c) of Exercise 2. Use P 0.2 in…