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Storrs Cycles has just started selling the new Cyclone mountain bike, with monthly sales as shown in the table. First, co-owner Bob Day wants to forecast by exponential smoothing by initially setting February’s forecast equal to January’s sales with  = .1. Co-owner Sherry Snyder wants to use a three-period moving average.

a) Is there a strong linear trend in sales over time?

b) Fill in the table with what Bob and Sherry each forecast for May and the earlier months, as relevant.

c) Assume that May’s actual sales figure turns out to be 405. Complete the table’s columns and then calculate the mean absolute deviation for both Bob’s and Sherry’s methods.

d) Based on these calculations, which method seems more accurate?

 
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Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Mark has collected the data shown in the following table:

a) Graph these data to see whether a linear equation might describe the relationship between the group’s television shows and guitar sales.

b) Use the least-squares regression method to derive a forecasting equation.

c) What is your estimate for guitar sales if Maroon 5 performed on TV nine times last month?

d) What are the correlation coefficient () and the coefficient of determination (2) for this model, and what do they mean?

 
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Boulanger Savings and Loan is proud of its long tradition in Winter Park, Florida. Begun by Michelle Boulanger 22 years after World War II, the S&L has bucked the trend of financial and liquidity problems that has repeatedly plagued the industry. Deposits have increased slowly but surely over the years, despite recessions in 1983, 1988, 1991, 2001, and 2010. Ms. Boulanger believes it is necessary to have a long-range strategic plan for her firm, including a 1-year forecast and preferably even a 5-year forecast of deposits. She examines the past deposit data and also peruses Florida’s gross state product (GSP) over the same 44 years. (GSP is analogous to gross national product [GNP] but on the state level.) The resulting data are in the following table.

a) Using exponential smoothing, with  = .6, then trend analysis, and finally linear regression, discuss which forecasting model fits best for Boulanger’s strategic plan. Justify the selection of one model over another.

b) Carefully examine the data. Can you make a case for excluding a portion of the information? Why? Would that change your choice of model?

 
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Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a regression model to help determine residential housing prices in northwestern Pennsylvania. The model was developed using recent sales in a particular neighborhood. The price  of the house is based on the size (square footage = ) of the house. The model is:

The coefficient of correlation for the model is 0.63.

a) Use the model to predict the selling price of a house that is 1,860 square feet.

b) An 1,860-square-foot house recently sold for $95,000.Explain why this is not what the model predicted.

c) If you were going to use multiple regression to developsuch a model, what other quantitative variables might you include?

d) What is the value of the coefficient of determination in this problem?

 
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