Bell Greenhouses has estimated its monthly demand for potting soil to be the following: N=400+8X where N is the monthly demand for bags of potting soil and X is the time period in months (March 2016 = 0). Assume this trend factor is expected to remain stable in the foreseeable future. The following table contains the monthly seasonal adjustment factors, which have been estimated using actual sales data from the past five years: Complete the following table by forecasting Bell Greenhouses' demand for potting soil in March, June, August, and December 2017. Month March Adjustment Factor (%) Forecast June August December +2 +15 +10 -12 The following table shows the forecasted and actual potting soil sales by Bell Greenhouses for April in five different years. Year Forecast Actual 2017 504 549 2016 408 412 2015 312 340 2014 216 227 2013 120 131 What seasonal adjustment factor would you recommend be used to forecast in April 2018? оо -1.5% ○ 2.9% ○ 6.6%

Using the trend adjusted projected method and given the following S15-0.991 T15x 115=5.33+(0.01387)t The forecast demand for period 15?

3 Metropolitan Hospital has estimated its average monthly bed needs as MONTH January Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years: April July November December N = 1,000+ 9X where X = time period (months); January 2002 = 0 N = monthly bed needs ADJUSTMENT FACTOR (%) +5 -15 +4 -5 -25 a. Forecast Metropolitan's bed demand for January, April, July, November, and December 2007.

Metropolitan Hospital has estimated its average monthly bed needs, N, as: N = 460 + 9X where X = time period (months); (January 2002 = 0) Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years: Forecast Metropolitan's bed demand for January, April, July, November, and December 2007. Month Adjustment Factor (%) Forecast January +5 April -15 July +4 November -5 December -25 Suppose the following actual and forecast values for June bed demands have been recorded. Year Forecast Actual 2007 1,045 1,139 2006 937 974 2005 829 895 2004 721 743 2003 613 656 2002 505 515 What seasonal adjustment factor would you recommend be used in making future June forecasts? O 5.5% O 0.2% O 2.3%

If the annual rate of world oil consumption t years after 1970 is modeledby the equation R(t) = 16.1e^.07t (billions of barrels per year), how much total oil (net change) was used between 1976 and 1980?

Plot the logarithm of arrivals for each transportation mode against time, all on the same graph. Which now appears to be growing the fastest?

MULTIPLE CHOICE Let yt = 12.50 be the natural logarithm of Real GDP in year t. Suppose that gt = 12.45 is the trend for yt in year t. Then: (1) the cyclical component of Real GDP in year t is 5%. (2) the cyclical component of Real GDP in year t is −5%. (3) the cyclical component of Real GDP in year t is 0.05%. (4) the cyclical component of Real GDP in year t is −0.05%.

Answer please

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…

Suppose Home Depot issues 30-year bonds on which it pays a 5.0% (nominal) interest rate. Further, suppose that both Home Depot and the purchasers of its bonds anticipate inflation will average 2.75% during the life of the loan. Now suppose the inflation rate after the loan is made (i.e. after the bond is purchased) is actually 4.75% per annum. It follows that the actual real rate of interest is and, ceteris paribus, are (is) financially better off than anticipated as a result of the difference between the anticipated and the actual rate of inflation. O a. 2.5%, Bondholders O b. 2.5%, Home Depot O c. 0.25%, Bondholders O d. 0.25%, Home Depot Next page ge