I have 3 assisgnments that I need done by Saturday on finance
Questions
| Type your name here, Last Name First | |
| For SES solutions, use α = 0.1. For Holt solutions, use α = 0.95 and β = 0.01. | |
| Forecasting Intermediate Methods Exercises | |
| 1. Recall the forecast produced for assignment 3 in Module 28 for the Northland special revenue fund. The original data are provided in Table 29.1. | |
| a. Using the same initial data and assumptions, refine the forecast using the exponential smoothing method appropriate for nontrending data. | |
| b. Produce a graph showing the original data, the 5-year moving average forecast from Module 28, and the forecast produced using the exponential method. | |
| c. Which forecast would you recommend using, and why? | |
| Table 29.1 Northland: Special Revenue Fund | |
| 1996 | 53,421,417 |
| 1997 | 64,600,858 |
| 1998 | 67,053,747 |
| 1999 | 24,316,124 |
| 2000 | 66,110,642 |
| 2001 | 93,389,137 |
| 2002 | 49,686,023 |
| 2003 | 20,706,410 |
| 2004 | 81,238,032 |
| 2005 | 49,055,130 |
| 2006 | 124,202,747 |
| 2007 | 86,126,170 |
| 2008 | 27,862,519 |
| 2009 | 85,704,726 |
| 2010 | 81,483,730 |
| 2011 | 45,459,605 |
| 2012 | 22,672,732 |
| 2013 | 58,226,034 |
| 2. Recall the forecast produced in assignment 5 in Module 28 for River County’s property tax revenue. The original data are provided in Table 29.2. | |
| a. Using the same initial data and assumptions, refine the forecast using the exponential smoothing method appropriate for trending data. | |
| b. Create a matrix showing the ME and RMSE for the three scenarios of moving-average forecasts from Module 28 and the ME and RMSE produced using the exponential method. | |
| c. Which forecast would you recommend using, and why? | |
| Table 29.2 River County: Property Tax Revenue | |
| 1992 | 34,762.30 |
| 1993 | 32,354.10 |
| 1994 | 30,971.70 |
| 1995 | 31,010.80 |
| 1996 | 32,382.90 |
| 1997 | 33,211.60 |
| 1998 | 36,407.80 |
| 1999 | 38,930.50 |
| 2000 | 43,246.20 |
| 2001 | 48,342.40 |
| 2002 | 45,042.60 |
| 2003 | 45,322.70 |
| 2004 | 44,165.60 |
| 2005 | 50,550.40 |
| 2006 | 62,733.40 |
| 2007 | 67,096.60 |
| 2008 | 70,422.90 |
| 2009 | 74,674.30 |
| 2010 | 74,996.80 |
| 2011 | 68,019.60 |
| 2012 | 62,401.20 |
| 2013 | 54,584.60 |
| 2014 | 39,843.00 |
| x | |
| Type your name here, Last Name First | |
| Please enter your name on the first page |
Put graphs here
| This page for graphs only. Other pages are self-checking | |||||||
| Put solved data for Exercise 1 Here | |||||||
| Year | Total State and Local Per Capita Taxes Paid | ESForecast | 5 yr MA | ||||
| 1996 | 53,421,417 | Graph 1 for Exercise 1 | |||||
| 1997 | 64,600,858 | ||||||
| 1998 | 67,053,747 | ||||||
| 1999 | 24,316,124 | ||||||
| 2000 | 66,110,642 | ||||||
| 2001 | 93,389,137 | ||||||
| 2002 | 49,686,023 | ||||||
| 2003 | 20,706,410 | ||||||
| 2004 | 81,238,032 | Put Graph 1 Exercise 1 Here | |||||
| 2005 | 49,055,130 | ||||||
| 2006 | 124,202,747 | ||||||
| 2007 | 86,126,170 | ||||||
| 2008 | 27,862,519 | ||||||
| 2009 | 85,704,726 | ||||||
| 2010 | 81,483,730 | ||||||
| 2011 | 45,459,605 | ||||||
| 2012 | 22,672,732 | ||||||
| 2013 | 58,226,034 | Graph 2 for Exercise 1 | |||||
| 2014 | |||||||
| 2015 | |||||||
| 2016 | |||||||
| Put Graph 2 Exercise 1 Here | |||||||
Exercise 29.1
| To show the cell checking, put a check here: | x | Grade Graph 1 | Percent Correct | 0% | |||||||||||
| Grade Graph 2 | |||||||||||||||
| Special Revenue | α | Error | Error SQ | Error | Error SQ | ||||||||||
| Mean | |||||||||||||||
| Year | Revenue | ESForecast | RMSE | 5 yr MA | |||||||||||
| 1996 | 53,421,417 | ||||||||||||||
| 1997 | 64,600,858 | ||||||||||||||
| 1998 | 67,053,747 | ||||||||||||||
| 1999 | 24,316,124 | ||||||||||||||
| 2000 | 66,110,642 | ||||||||||||||
| 2001 | 93,389,137 | ||||||||||||||
| 2002 | 49,686,023 | ||||||||||||||
| 2003 | 20,706,410 | ||||||||||||||
| 2004 | 81,238,032 | ||||||||||||||
| 2005 | 49,055,130 | ||||||||||||||
| 2006 | 124,202,747 | ||||||||||||||
| 2007 | 86,126,170 | ||||||||||||||
| 2008 | 27,862,519 | ||||||||||||||
| 2009 | 85,704,726 | ||||||||||||||
| 2010 | 81,483,730 | ||||||||||||||
| 2011 | 45,459,605 | ||||||||||||||
| 2012 | 22,672,732 | ||||||||||||||
| 2013 | 58,226,034 | ||||||||||||||
| 2014 | |||||||||||||||
| 2015 | |||||||||||||||
| 2016 | |||||||||||||||
| Put text answer here | Grade Text Answer | ||||||||||||||
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Answer 1
| SES - Non Trending Data | |||||||||
| α | |||||||||
| Special Revenue | 0.1 | Error SQ | Error SQ | ||||||
| Error | 1,029,921,173,733,511 | Error | 1,100,099,466,542,052 | ||||||
| Year | Revenue | ESForecast | 4,663,957 | 32,092,384.98 | Mean | 5 yr MA | (688,154) | 33,167,747.38 | |
| 1996 | 53,421,417 | RMSE | |||||||
| 1997 | 64,600,858 | 53,421,417 | 11,179,441 | ||||||
| 1998 | 67,053,747 | 54,539,361 | 12,514,386 | ||||||
| 1999 | 24,316,124 | 55,790,800 | (31,474,676) | ||||||
| 2000 | 66,110,642 | 52,643,332 | 13,467,310 | ||||||
| 2001 | 93,389,137 | 53,990,063 | 39,399,074 | 1,552,287,020,797,221 | 55100557.67 | 38,288,579 | 1,466,015,307,109,703 | ||
| 2002 | 49,686,023 | 57,929,971 | (8,243,948) | 67,962,679,098,423 | 63094101.67 | (13,408,079) | 179,776,587,028,988 | ||
| 2003 | 20,706,410 | 57,105,576 | (36,399,166) | 1,324,899,250,970,874 | 60111134.57 | (39,404,724) | 1,552,732,302,675,672 | ||
| 2004 | 81,238,032 | 53,465,659 | 27,772,373 | 771,304,714,650,116 | 50841667.21 | 30,396,365 | 923,939,016,763,843 | ||
| 2005 | 49,055,130 | 56,242,896 | (7,187,766) | 51,663,981,448,747 | 62226048.87 | (13,170,918) | 173,473,093,343,387 | ||
| 2006 | 124,202,747 | 55,524,120 | 68,678,627 | 4,716,753,794,755,179 | 58814946.5 | 65,387,800 | 4,275,564,428,072,680 | ||
| 2007 | 86,126,170 | 62,391,983 | 23,734,187 | 563,311,633,612,175 | 64977668.46 | 21,148,501 | 447,259,100,468,581 | ||
| 2008 | 27,862,519 | 64,765,401 | (36,902,882) | 1,361,822,720,562,647 | 72265697.88 | (44,403,179) | 1,971,642,294,649,278 | ||
| 2009 | 85,704,726 | 61,075,113 | 24,629,613 | 606,617,841,855,107 | 73696919.64 | 12,007,807 | 144,187,417,421,755 | ||
| 2010 | 81,483,730 | 63,538,074 | 17,945,655 | 322,046,541,895,946 | 74590258.392 | 6,893,471 | 47,519,945,295,525 | ||
| 2011 | 45,459,605 | 65,332,640 | (19,873,035) | 394,937,523,546,564 | 81075978.232 | (35,616,373) | 1,268,526,056,447,675 | ||
| 2012 | 22,672,732 | 63,345,336 | (40,672,605) | 1,654,260,763,141,180 | 65327349.832 | (42,654,618) | 1,819,416,439,455,820 | ||
| 2013 | 58,226,034 | 59,278,076 | (1,052,042) | 1,106,792,201,458 | 52636662.272 | 5,589,372 | 31,241,076,313,766 | ||
| 2014 | 59,172,872 | 58709365.272 | Final Graph | ||||||
| 2015 | 59,172,872 | 58709365.272 | |||||||
| 2016 | 59,172,872 | 58709365.272 |
Exercise 29.2
| To show the cell checking, put a check here: | x | Grade Graph | Percent Correct | 0% | |||||||||||
| Please enter your name on the first page | Grade in Points (All Sheets) | 0.00 | |||||||||||||
| Property Tax Levy | |||||||||||||||
| Fiscal Year | Tax Levy (in thousands) | Initialize | α | β | Forecast | Error | ErrorSQ | ME | RMSE | ||||||
| Mean | MA3 | ||||||||||||||
| RMSE | MA5 | ||||||||||||||
| MA7 | |||||||||||||||
| This Forecast | - 0 | - 0 | |||||||||||||
| 1992 | 34,762.3 | ||||||||||||||
| 1993 | 32,354.1 | ||||||||||||||
| 1994 | 30,971.7 | ||||||||||||||
| 1995 | 31,010.8 | ||||||||||||||
| 1996 | 32,382.9 | ||||||||||||||
| 1997 | 33,211.6 | ||||||||||||||
| 1998 | 36,407.8 | ||||||||||||||
| 1999 | 38,930.5 | ||||||||||||||
| 2000 | 43,246.2 | ||||||||||||||
| 2001 | 48,342.4 | ||||||||||||||
| 2002 | 45,042.6 | ||||||||||||||
| 2003 | 45,322.7 | ||||||||||||||
| 2004 | 44,165.6 | ||||||||||||||
| 2005 | 50,550.4 | ||||||||||||||
| 2006 | 62,733.4 | ||||||||||||||
| 2007 | 67,096.6 | ||||||||||||||
| 2008 | 70,422.9 | ||||||||||||||
| 2009 | 74,674.3 | ||||||||||||||
| 2010 | 74,996.8 | ||||||||||||||
| 2011 | 68,019.6 | ||||||||||||||
| 2012 | 62,401.2 | ||||||||||||||
| 2013 | 54,584.6 | ||||||||||||||
| 2014 | 39,843.0 | ||||||||||||||
| 2015 | |||||||||||||||
| 2016 | |||||||||||||||
| 2017 | |||||||||||||||
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Answer 2
| Holt Exp - Trending Data | |||||||||||||
| Property Tax Levy | |||||||||||||
| Fiscal Year | Tax Levy (in thousands) | Initialize | α | β | Forecast | Error | ErrorSQ | ME | RMSE | ||||
| 7,731.3 | 0.95 | 0.01 | (1,069.58) | 34,287,346.80 | Mean | MA3 | (1,924.58) | 6,760.00 | |||||
| 5 | 5,855.54 | RMSE | MA5 | 291.37 | 8,624.55 | ||||||||
| 1546.27 | MA7 | (2,404.20) | 10,594.99 | ||||||||||
| 3 | |||||||||||||
| 27,657.55 | 27,657.55 | 1,546.27 | Holt | (1,069.58) | 5,855.54 | ||||||||
| 1992 | 34,762.3 | 34,484.38 | 1,601.85 | 29,203.82 | 5,558.48 | 30,896,711.47 | |||||||
| 1993 | 32,354.1 | 32,540.66 | 1,564.53 | 36,086.23 | (3,732.18) | 13,929,141.27 | |||||||
| 1994 | 30,971.7 | 31,128.35 | 1,533.19 | 34,105.19 | (3,133.52) | 9,818,932.48 | |||||||
| 1995 | 31,010.8 | 31,093.35 | 1,516.69 | 32,661.54 | (1,650.73) | 2,724,901.18 | |||||||
| 1996 | 32,382.9 | 32,296.4 | 32,394.28 | 1,514.42 | 32,610.04 | (227.11) | 51,581.08 | ||||||
| 1997 | 33,211.6 | 33,246.43 | 1,507.44 | 33,908.70 | (697.12) | 485,973.37 | |||||||
| 1998 | 36,407.8 | 36,325.07 | 1,523.98 | 34,753.88 | 1,653.88 | 2,735,322.75 | |||||||
| 1999 | 38,930.5 | 38,876.47 | 1,534.80 | 37,849.05 | 1,081.49 | 1,169,623.34 | |||||||
| 2000 | 43,246.2 | 43,104.45 | 1,563.15 | 40,411.27 | 2,834.93 | 8,036,855.60 | |||||||
| 2001 | 48,342.4 | 40,027.7 | 48,158.61 | 1,599.90 | 44,667.60 | 3,674.75 | 13,503,785.22 | ||||||
| 2002 | 45,042.6 | 45,278.35 | 1,552.74 | 49,758.51 | (4,715.96) | 22,240,241.69 | |||||||
| 2003 | 45,322.7 | 45,398.12 | 1,537.65 | 46,831.09 | (1,508.39) | 2,275,242.81 | |||||||
| 2004 | 44,165.6 | 44,304.14 | 1,509.95 | 46,935.77 | (2,770.14) | 7,673,668.03 | |||||||
| 2005 | 50,550.4 | 50,313.55 | 1,557.31 | 45,814.09 | 4,736.28 | 22,432,351.70 | |||||||
| 2006 | 62,733.4 | 62,190.28 | 1,665.94 | 51,870.87 | 10,862.54 | 117,994,873.26 | |||||||
| 2007 | 67,096.6 | 66,934.60 | 1,698.34 | 63,856.22 | 3,240.40 | 10,500,187.45 | |||||||
| 2008 | 70,422.9 | 70,333.37 | 1,716.24 | 68,632.94 | 1,789.93 | 3,203,831.57 | |||||||
| 2009 | 74,674.3 | 74,543.10 | 1,742.49 | 72,049.62 | 2,624.72 | 6,889,139.62 | |||||||
| 2010 | 74,996.8 | 75,061.24 | 1,729.60 | 76,285.59 | (1,288.78) | 1,660,960.36 | |||||||
| 2011 | 68,019.6 | 68,458.15 | 1,641.89 | 76,790.84 | (8,771.25) | 76,934,873.33 | |||||||
| 2012 | 62,401.2 | 62,786.12 | 1,564.90 | 70,100.04 | (7,698.87) | 59,272,624.63 | |||||||
| 2013 | 54,584.6 | 55,072.90 | 1,467.24 | 64,351.02 | (9,766.44) | 95,383,308.85 | |||||||
| 2014 | 39,843.0 | 40,677.84 | 1,300.26 | 56,540.14 | (16,697.15) | 278,794,845.25 | |||||||
| 2015 | 41,978.11 | 1,300.26 | 41,978.11 | ||||||||||
| 2016 | 43,278.37 | 1,300.26 | 43,278.37 | ||||||||||
| 2017 | 44,578.64 | 1,300.26 | 44,578.64 |
Tax Levy (in thousands)
Grade Worksheet
| 4 | Total Points Available | Item Grade Weight | x | A mark here makes the numbers in the grade calculation visible. | ||
| 0.25 | Base Points (for trying this exercise) | |||||
| 0.75 | Manual Points | |||||
| 3 | Points to be graded | |||||
| 0% | Percent all sheets | |||||
| 0.00 | Graded Points | |||||
| 0 | Problem 1 Graph 1 | 0.15 | 0 | |||
| 0 | Problem 1 Graph 2 | 0.15 | 0 | |||
| 0 | Problem 1 Text | 0.15 | 0 | |||
| 0 | Problem 2 Graph | 0.15 | 0 | |||
| 0 | Problem 2 Text | 0.15 | 0 | |||
| 0.25 | Initial Grade | 0.75 | ||||
| 0.35 | Minimum Earned Points | |||||
| 0.6 | Threshold | |||||
| 0.00 | Grade | Grade Table | ||||
| A | 100% | |||||
| B | 90% | |||||
| 0 | C | 80% | ||||
| 239 | D | 70% | ||||
| F | 0% |