MISY 3433 Java Applications in Business – Spring 2021 Individual Term Project The project has two parts • Part 1: Design (50 points) – Due March 26, 2021 • Part 2: Implementation (150 points) – Due March 30, 2021 Your grade in the project is dependent upon the following: 1. Clear and adequate analysis; 2. Clear and adequate flowchart; 3. Programs compiling; 4. Programs performing the tasks as indicated in the problem statement; 5. Programs clarity (following naming convention for classes and variables, providing code comments and indentations); PROBLEM DESCRIPTION A customer needs to buy a specific quantity of cakes. The price of a cake varies depending on the number of cakes in the packet. The price is as follow: • $1.50 for a single cake • $1.25 per cake in a packet of 25 • $1.10 per cake in a packet of 100. If the quantity of cakes bought is greater than 400, there is a rebate of $2 for each packet of 100. PART 1 : Design Develop a solution (analysis and flowchart) to compute and print: • The type and number of packets given the quantity of cakes bought by a customer; • The cost of the cakes; • The rebate; • The bill to be paid by the customer. PART 2 : Implementation Write a program to compute and print: • The type and number of packets given the quantity of cakes bought by a customer; • The cost of the cakes; • The rebate; • The bill to be paid by the customer. The program will prompt the user to enter the quantity of cakes to buy. TESTING THE PROGRAM Test your program with the following data: Input Expected result Quantity of cakes Type of Package Cost Rebate Bill Single Pack of 25 Pack 100 10 10 0 0 $15 $0 $15 77 2 3 0 $96.75 $0 $96.75 300 0 0 3 $330 $0 $330 552 2 2 5 $615.5 $10 $605.5 Here is one example of program output: Enter the number of cakes to purchase: 552 Number of Single Cakes : 2 Number of packets of 25 Cakes : 2 Number of packets of 100 Cakes : 5 Cakes Cost : $615.5 Rebate : $10.0 Cakes Bill : $605.5 QuestionsType your name here, Last Name FirstForecasting Advanced Intermediate Exercises30.1. Businesses in the city of Techville are required to remit their sales tax collections every month to the city tax department. To ensure that business owners are in compliance, the city assesses a penalty on businesses that are out of compliance with this regulation at the beginning of each quarter. The exercise spreadsheet includes the revenue data for the collection of sales tax receipts from businesses.a. Prepare a graph of the revenue collection from July 2006 to June 2013. Does there appear to be seasonality in the data?b. Prepare an overlay graph of the revenue collection to validate your assumption.c. Go through the appropriate steps to deseasonalize the data in preparation for the next budget cycle forecasting. Upon reaching the step of having deseasonalized data ...

1. MISY 3433 Java Applications in Business – Spring 2021
Individual Term Project
The project has two parts
• Part 1: Design (50 points) – Due March 26, 2021
• Part 2: Implementation (150 points) – Due March 30, 2021
Your grade in the project is dependent upon the following:
1. Clear and adequate analysis;
2. Clear and adequate flowchart;
3. Programs compiling;
4. Programs performing the tasks as indicated in the problem
statement;
5. Programs clarity (following naming convention for classes
and variables, providing
code comments and indentations);
PROBLEM DESCRIPTION
A customer needs to buy a specific quantity of cakes. The price
of a cake varies
depending on the number of cakes in the packet. The price is as
follow:

2. • $1.50 for a single cake
• $1.25 per cake in a packet of 25
• $1.10 per cake in a packet of 100.
If the quantity of cakes bought is greater than 400, there is a
rebate of $2 for each
packet of 100.
PART 1 : Design
Develop a solution (analysis and flowchart) to compute and
print:
• The type and number of packets given the quantity of cakes
bought by a
customer;
• The cost of the cakes;
• The rebate;
• The bill to be paid by the customer.
PART 2 : Implementation

3. Write a program to compute and print:
• The type and number of packets given the quantity of cakes
bought by a
customer;
• The cost of the cakes;
• The rebate;
• The bill to be paid by the customer.
The program will prompt the user to enter the quantity of cakes
to buy.
TESTING THE PROGRAM
Test your program with the following data:
Input Expected result
Quantity of
cakes
Type of Package Cost Rebate Bill
Single Pack of 25 Pack 100
10 10 0 0 $15 $0 $15
77 2 3 0 $96.75 $0 $96.75

4. 300 0 0 3 $330 $0 $330
552 2 2 5 $615.5 $10 $605.5
Here is one example of program output:
Enter the number of cakes to purchase: 552
Number of Single Cakes : 2
Number of packets of 25 Cakes : 2
Number of packets of 100 Cakes : 5
Cakes Cost : $615.5
Rebate : $10.0
Cakes Bill : $605.5
QuestionsType your name here, Last Name FirstForecasting
Advanced Intermediate Exercises30.1. Businesses in the city of
Techville are required to remit their sales tax collections every
month to the city tax department. To ensure that business
owners are in compliance, the city assesses a penalty on
businesses that are out of compliance with this regulation at the
beginning of each quarter. The exercise spreadsheet includes the
revenue data for the collection of sales tax receipts from
businesses.a. Prepare a graph of the revenue collection from
July 2006 to June 2013. Does there appear to be seasonality in
the data?b. Prepare an overlay graph of the revenue collection
to validate your assumption.c. Go through the appropriate steps
to deseasonalize the data in preparation for the next budget
cycle forecasting. Upon reaching the step of having
deseasonalized data for July 2006 to June 2013, prepare a chart
similar to Figure 30.20 showing the original data with the
deseasonalized data.30.2. Valley County is developing a
forecast for its sales tax revenue. The data they believe will

5. increase the accuracy of the forecast include the number of
single-family home permits, the average monthly rent for an
apartment in a multifamily facility, and the employment levels
in the county.This problem requires using a non-restricted
spreadsheet. Data are provided separatelya. Using the data
provided and the regression functionality in Excel, develop a
model (formula) for predicting sales tax revenues.b. Calculate
the Durbin Watson statistic. Are the residuals correlated with
each other, and why?c. Reverse the log of the predicted value
(sales tax).d. Provide the predictive formula derived from these
calculations.e. Calculate the predicted change in sales tax
revenue next year using differences.xType your name here, Last
Name FirstPlease enter your name on the first page
Put Graphs HerePut Results Exercise 29.1c below1a and 1c
below, 1b to the rightExercise 1Put data for graph 1b hereFiscal
YearMonthMonthYearRevenueDeseasonlizedFY 2007FY
2008FY 2009FY 2010FY 2011FY 2012FY 2013FY 2007JulyJul -
06486Graph for Exercise 1aJulyFY 2007AugAug-
06118,228AugFY 2007SeptSep-06738,995SeptFY 2007OctOct-
0640,469OctFY 2007NovNov-06194,269NovFY 2007DecDec-
06522,234DecFY 2007JanJan-077,241JanFY 2007FebFeb-
07163,667FebFY 2007MarMar-07543,571MarFY 2007AprApr-
077,700AprFY 2007MayMay-0772,777MayFY 2007 JunJun-
07654,310 JunFY 2008JulyJul-07600FY 2008AugAug-
07132,025Put Graph for Exercise 1a HereFY 2008SeptSep-
07694,925Graph for Exercise 1bFY 2008OctOct-0714,590FY
2008NovNov-072,951FY 2008DecDec-07760,545FY
2008JanJan-083,492FY 2008FebFeb-08102,809FY
2008MarMar-08670,206Put Graph for Exercise 1b HereFY
2008AprApr-087,467FY 2008MayMay-0846,430FY 2008
JunJun-08768,589FY 2009JulyJul-08198FY 2009AugAug-
08176,875FY 2009SeptSep-08614,337FY 2009OctOct-
088,079Graph for Exercise 1cFY 2009NovNov-08171,477FY
2009DecDec-08652,988FY 2009JanJan-092,814FY
2009FebFeb-09147,537FY 2009MarMar-09664,756FY
2009AprApr-094,541FY 2009MayMay-09109,509FY 2009

6. JunJun-09712,203FY 2010JulyJul-094,835FY 2010AugAug-
09200,091FY 2010SeptSep-09663,140FY 2010OctOct-
097,705FY 2010NovNov-095,790Put Graph for Exercise 1c
HereFY 2010DecDec-09885,442FY 2010JanJan-10965FY
2010FebFeb-10105,881FY 2010MarMar-10880,198FY
2010AprApr-1012,602FY 2010MayMay-10177,362FY 2010
JunJun-10546,337FY 2011JulyJul-101,805FY 2011AugAug-
10118,645FY 2011SeptSep-10696,400FY 2011OctOct-
105,908FY 2011NovNov-10205,746FY 2011DecDec-
10547,898FY 2011JanJan-117,926FY 2011FebFeb-11136,651FY
2011MarMar-11724,465FY 2011AprApr-117,200FY
2011MayMay-11173,590FY 2011 JunJun-11691,634FY
2012JulyJul-115,842FY 2012AugAug-11228,060FY
2012SeptSep-11554,226FY 2012OctOct-118,118FY
2012NovNov-114,763FY 2012DecDec-11829,057FY
2012JanJan-123,105FY 2012FebFeb-12290,004FY
2012MarMar-12596,768FY 2012AprApr-124,935FY
2012MayMay-1288,855FY 2012 JunJun-12743,767FY
2013JulyJul-122,682FY 2013AugAug-12160,706FY
2013SeptSep-12544,784FY 2013OctOct-1210,584FY
2013NovNov-12281,208FY 2013DecDec-12624,579FY
2013JanJan-13936FY 2013FebFeb-13141,268FY 2013MarMar-
13322,932FY 2013AprApr-135,195FY 2013MayMay-
13181,479FY 2013 JunJun-13929,887
Exercise 30.1cTo show the cell checking, put a check
here:xGrade Graph 1Percent Correct0%Grade Graph 2Grade
Graph 3Fiscal YearMonthMonthYearRevenue12Month Average2
Month AverageSeasonal RatioAverage SeasonalsNormalized
SeasonalsDamped SeasonalsDe-
SeasonalizedCheckGrade000computed ratioFactor00verify0FY
2007JulyJul-0648600FY 2007AugAug-06118,22800FY
2007SeptSep-06738,99500FY 2007OctOct-0640,46900FY
2007NovNov-06194,26900FY 2007DecDec-06522,23400FY
2007JanJan-077,2410000000FY 2007FebFeb-
07163,6670000000FY 2007MarMar-07543,5710000000FY
2007AprApr-077,7000000000FY 2007MayMay-

7. 0772,7770000000FY 2007 JunJun-07654,3100000000FY
2008JulyJul-076000000000FY 2008AugAug-
07132,0250000000FY 2008SeptSep-07694,9250000000FY
2008OctOct-0714,5900000000FY 2008NovNov-
072,9510000000FY 2008DecDec-07760,5450000000FY
2008JanJan-083,49200000FY 2008FebFeb-08102,80900000FY
2008MarMar-08670,20600000FY 2008AprApr-087,46700000FY
2008MayMay-0846,43000000FY 2008 JunJun-
08768,58900000FY 2009JulyJul-0819800000FY 2009AugAug-
08176,87500000FY 2009SeptSep-08614,33700000FY
2009OctOct-088,07900000FY 2009NovNov-08171,47700000FY
2009DecDec-08652,98800000FY 2009JanJan-092,81400000FY
2009FebFeb-09147,53700000FY 2009MarMar-
09664,75600000FY 2009AprApr-094,54100000FY
2009MayMay-09109,50900000FY 2009 JunJun-
09712,20300000FY 2010JulyJul-094,83500000FY
2010AugAug-09200,09100000FY 2010SeptSep-
09663,14000000FY 2010OctOct-097,70500000FY
2010NovNov-095,79000000FY 2010DecDec-
09885,44200000FY 2010JanJan-1096500000FY 2010FebFeb-
10105,88100000FY 2010MarMar-10880,19800000FY
2010AprApr-1012,60200000FY 2010MayMay-
10177,36200000FY 2010 JunJun-10546,33700000FY
2011JulyJul-101,80500000FY 2011AugAug-10118,64500000FY
2011SeptSep-10696,40000000FY 2011OctOct-105,90800000FY
2011NovNov-10205,74600000FY 2011DecDec-
10547,89800000FY 2011JanJan-117,92600000FY 2011FebFeb-
11136,65100000FY 2011MarMar-11724,46500000FY
2011AprApr-117,20000000FY 2011MayMay-
11173,59000000FY 2011 JunJun-11691,63400000FY
2012JulyJul-115,84200000FY 2012AugAug-11228,06000000FY
2012SeptSep-11554,22600000FY 2012OctOct-118,11800000FY
2012NovNov-114,76300000FY 2012DecDec-
11829,05700000FY 2012JanJan-123,10500000FY 2012FebFeb-
12290,00400000FY 2012MarMar-12596,76800000FY
2012AprApr-124,93500000FY 2012MayMay-1288,85500000FY

8. 2012 JunJun-12743,76700000FY 2013JulyJul-122,68200000FY
2013AugAug-12160,70600000FY 2013SeptSep-
12544,78400000FY 2013OctOct-1210,58400000FY
2013NovNov-12281,20800000FY 2013DecDec-
12624,57900000FY 2013JanJan-13936000FY 2013FebFeb-
13141,26800FY 2013MarMar-13322,93200FY 2013AprApr-
135,19500FY 2013MayMay-13181,479000FY 2013 JunJun-
13929,88700415
Answer 1aExercise 1Fiscal YearMonthMonthYearRevenueFY
2007JulyJul-06486FY 2007AugAug-06118,228FY 2007SeptSep-
06738,995FY 2007OctOct-0640,469FY 2007NovNov-
06194,269FY 2007DecDec-06522,234FY 2007JanJan-
077,241FY 2007FebFeb-07163,667FY 2007MarMar-
07543,571FY 2007AprApr-077,700FY 2007MayMay-
0772,777FY 2007 JunJun-07654,310FY 2008JulyJul-07600FY
2008AugAug-07132,025FY 2008SeptSep-07694,925FY
2008OctOct-0714,590FY 2008NovNov-072,951FY
2008DecDec-07760,545FY 2008JanJan-083,492FY
2008FebFeb-08102,809FY 2008MarMar-08670,206FY
2008AprApr-087,467FY 2008MayMay-0846,430FY 2008
JunJun-08768,589FY 2009JulyJul-08198FY 2009AugAug-
08176,875FY 2009SeptSep-08614,337FY 2009OctOct-
088,079FY 2009NovNov-08171,477FY 2009DecDec-
08652,988FY 2009JanJan-092,814FY 2009FebFeb-09147,537FY
2009MarMar-09664,756FY 2009AprApr-094,541FY
2009MayMay-09109,509FY 2009 JunJun-09712,203FY
2010JulyJul-094,835FY 2010AugAug-09200,091FY
2010SeptSep-09663,140FY 2010OctOct-097,705FY
2010NovNov-095,790FY 2010DecDec-09885,442FY
2010JanJan-10965FY 2010FebFeb-10105,881FY 2010MarMar-
10880,198FY 2010AprApr-1012,602FY 2010MayMay-
10177,362FY 2010 JunJun-10546,337FY 2011JulyJul-
101,805FY 2011AugAug-10118,645FY 2011SeptSep-
10696,400FY 2011OctOct-105,908FY 2011NovNov-
10205,746FY 2011DecDec-10547,898FY 2011JanJan-
117,926FY 2011FebFeb-11136,651FY 2011MarMar-

9. 11724,465FY 2011AprApr-117,200FY 2011MayMay-
11173,590FY 2011 JunJun-11691,634FY 2012JulyJul-
115,842FY 2012AugAug-11228,060FY 2012SeptSep-
11554,226FY 2012OctOct-118,118FY 2012NovNov-114,763FY
2012DecDec-11829,057FY 2012JanJan-123,105FY
2012FebFeb-12290,004FY 2012MarMar-12596,768FY
2012AprApr-124,935FY 2012MayMay-1288,855FY 2012
JunJun-12743,767FY 2013JulyJul-122,682FY 2013AugAug-
12160,706FY 2013SeptSep-12544,784FY 2013OctOct-
1210,584FY 2013NovNov-12281,208FY 2013DecDec-
12624,579FY 2013JanJan-13936FY 2013FebFeb-13141,268FY
2013MarMar-13322,932FY 2013AprApr-135,195FY
2013MayMay-13181,479FY 2013 JunJun-13929,887
Answer 1bFY 2007FY 2008FY 2009FY 2010FY 2011FY
2012FY
2013July4866001984,8351,8055,8422,682Aug118,228132,0251
76,875200,091118,645228,060160,706Sept738,995694,925614,3
37663,140696,400554,226544,784Oct40,46914,5908,0797,7055,
9088,11810,584Nov194,2692,951171,4775,790205,7464,763281
,208Dec522,234760,545652,988885,442547,898829,057624,579
Jan7,2413,4922,8149657,9263,105936Feb163,667102,809147,5
37105,881136,651290,004141,268Mar543,571670,206664,7568
80,198724,465596,768322,932Apr7,7007,4674,54112,6027,200
4,9355,195May72,77746,430109,509177,362173,59088,855181,
479 Jun654,310768,589712,203546,337691,634743,767929,887
Answer 1cFiscal YearMonthMonthYearRevenue12Month
Average2 Month AverageSeasonal RatioAverage
SeasonalsNormalized SeasonalsDamped SeasonalsDe-
Seasonalized12.052525721712120.99564193240.9912FY
2007JulyJul-064860.01937951725,085FY 2007AugAug-
06118,2280.6178279844191,361FY 2007SeptSep-
06738,9952.2939002477322,157FY 2007OctOct-
0640,4690.0438611512922,664FY 2007NovNov-
06194,2690.4347613411446,840FY 2007DecDec-
06522,2342.584633189202,053FY 2007JanJan-
077,241255,329255,3340.028360260.01580669320.0157378066

10. 0.0255804285283,081FY 2007FebFeb-
07163,667255,338255,9130.63953967430.57728010840.574764
28260.5790166398282,663FY 2007MarMar-
07543,571256,488254,6522.13456514132.48343231862.472609
35272.4578832592221,154FY 2007AprApr-
077,700252,816251,7370.03058767780.02725108110.02713231
90.0368609958208,895FY 2007MayMay-
0772,777250,659242,6870.29987819310.40686861990.4050954
590.4110445044177,053FY 2007 JunJun-
07654,310234,716244,6462.67452220532.52134246562.510354
28482.4952507419262,222FY 2008JulyJul-
07600254,575254,4190.00235878690.00951572970.0094742596
0.01937951730,967FY 2008AugAug-
07132,025254,263251,7270.52447524840.61665508550.613967
6610.6178279844213,691FY 2008SeptSep-
07694,925249,191254,4682.7308986882.31706788572.3069699
4722.2939002477302,945FY 2008OctOct-
0714,590259,744259,7340.05617177890.03435289530.0342031
8310.0438611512332,635FY 2008NovNov-
072,951259,725258,6270.01141080210.43092988120.42905185
970.43476134116,788FY 2008DecDec-
07760,545257,529262,2912.89962742932.61202295752.600639
58492.584633189294,257FY 2008JanJan-
083,492267,052267,0360.01307559750.0255804285136,497FY
2008FebFeb-
08102,809267,019268,8880.38234766680.5790166398177,557F
Y 2008MarMar-
08670,206270,756267,3992.50639242322.4578832592272,676F
Y 2008AprApr-
087,467264,041263,7690.02830877930.0368609958202,572FY
2008MayMay-
0846,430263,498270,5200.17163382610.4110445044112,957FY
2008 JunJun-
08768,589277,542273,0602.81472086332.4952507419308,021F
Y 2009JulyJul-
08198268,579268,5510.00073699320.01937951710,213FY

11. 2009AugAug-
08176,875268,522270,3860.6541571610.6178279844286,285FY
2009SeptSep-
08614,337272,250272,0232.25840331712.2939002477267,813F
Y 2009OctOct-
088,079271,796271,6740.02973787780.0438611512184,195FY
2009NovNov-
08171,477271,552274,1800.62541772230.4347613411394,417F
Y 2009DecDec-
08652,988276,808274,4592.37918357132.584633189252,643FY
2009JanJan-
092,814272,110272,3030.01033467130.0255804285110,012FY
2009FebFeb-
09147,537272,496273,4630.5395128160.5790166398254,806FY
2009MarMar-
09664,756274,431276,4642.40449313992.4578832592270,459F
Y 2009AprApr-
094,541278,498278,4820.01630547020.0368609958123,187FY
2009MayMay-
09109,509278,466271,5630.40325660720.4110445044266,418F
Y 2009 JunJun-
09712,203264,659274,3452.59601573032.4952507419285,424F
Y 2010JulyJul-
094,835284,030283,9530.01702776770.019379517249,495FY
2010AugAug-
09200,091283,876282,1410.70918844830.6178279844323,862F
Y 2010SeptSep-
09663,140280,405289,3822.29157585172.2939002477289,088F
Y 2010OctOct-
097,705298,358298,6940.02579564110.0438611512175,668FY
2010NovNov-
095,790299,030301,8570.01918134720.434761341113,318FY
2010DecDec-
09885,442304,685297,7732.97354275142.584633189342,579FY
2010JanJan-
10965290,862290,7360.00331916160.025580428537,724FY

12. 2010FebFeb-
10105,881290,610287,2160.3686455790.5790166398182,863FY
2010MarMar-
10880,198283,823285,2083.08615750432.4578832592358,112F
Y 2010AprApr-
1012,602286,594286,5190.04398190190.0368609958341,870FY
2010MayMay-
10177,362286,445294,7760.60168351440.4110445044431,491F
Y 2010 JunJun-
10546,337303,108289,0431.8901564812.4952507419218,951FY
2011JulyJul-
101,805274,979275,2690.00655842320.01937951793,157FY
2011AugAug-
10118,645275,559276,8410.42856679340.6178279844192,035F
Y 2011SeptSep-
10696,400278,123271,6342.56374215782.2939002477303,588F
Y 2011OctOct-
105,908265,145264,9200.02229980990.0438611512134,690FY
2011NovNov-
10205,746264,695264,5380.77775734910.4347613411473,240F
Y 2011DecDec-
10547,898264,381270,4352.0259872992.584633189211,983FY
2011JanJan-
117,926276,489276,6570.02864770110.0255804285309,830FY
2011FebFeb-
11136,651276,825281,3840.48563696910.5790166398236,005F
Y 2011MarMar-
11724,465285,943280,0192.58719477482.4578832592294,751F
Y 2011AprApr-
117,200274,095274,1870.02626104450.0368609958195,341FY
2011MayMay-
11173,590274,280265,9050.65282643780.4110445044422,314F
Y 2011 JunJun-
11691,634257,531269,2462.56878141132.4952507419277,180F
Y 2012JulyJul-
115,842280,961280,7600.02080780220.019379517301,452FY

13. 2012AugAug-
11228,060280,559286,9490.79477555130.6178279844369,132F
Y 2012SeptSep-
11554,226293,339288,0181.92427573312.2939002477241,609F
Y 2012OctOct-
118,118282,697282,6030.02872582050.0438611512185,084FY
2012NovNov-
114,763282,509278,9780.01707303850.434761341110,955FY
2012DecDec-
11829,057275,447277,6192.98630724582.584633189320,764FY
2012JanJan-
123,105279,792279,6600.01110276760.0255804285121,382FY
2012FebFeb-
12290,004279,528276,7221.0479979450.5790166398500,856FY
2012MarMar-
12596,768273,916273,5222.18179092792.4578832592242,798F
Y 2012AprApr-
124,935273,129273,2310.01806161260.0368609958133,881FY
2012MayMay-
1288,855273,334284,8530.31193314090.4110445044216,169FY
2012 JunJun-
12743,767296,371287,8512.58385810272.4952507419298,073F
Y 2013JulyJul-
122,682279,331279,2410.00960460530.019379517138,394FY
2013AugAug-
12160,706279,151272,9530.58876731070.6178279844260,114F
Y 2013SeptSep-
12544,784266,756255,3462.13351156632.2939002477237,492F
Y 2013OctOct-
1210,584243,936243,9470.04338644360.0438611512241,307FY
2013NovNov-
12281,208243,958247,8171.13473902820.4347613411646,810F
Y 2013DecDec-
12624,579251,677259,4322.40748944812.584633189241,651FY
2013JanJan-13936267,1870.025580428536,590FY 2013FebFeb-
13141,2680.5790166398243,979FY 2013MarMar-

14. 13322,9322.4578832592131,386FY 2013AprApr-
135,1950.0368609958140,935FY 2013MayMay-
13181,4790.4110445044441,507FY 2013 JunJun-
13929,8872.4952507419372,663
Grade Worksheet2.5Total Points AvailableItem Grade
WeightxA mark here makes the numbers in the grade calculation
visible.0.25Base Points (for trying this exercise)0.45Manual
Points1.8Points to be graded0.0%Percent all sheets0Graded
Points0Graph 10.1500Graph 20.1500Graph 30.1500.25Initial
Grade0.450.1Minimum Earned
Points0.35Threshold0GradeGrade
TableA100%B90%C80%D70%F0%
QuestionsType your name here, Last Name FirstFor SES
solutions, use α = 0.1. For Holt solutions, use α = 0.95 and β =
0.01.Forecasting Intermediate Methods Exercises1. 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
Fund199653,421,417199764,600,858199867,053,747199924,316
,124200066,110,642200193,389,137200249,686,023200320,706,
410200481,238,032200549,055,1302006124,202,747200786,126
,170200827,862,519200985,704,726201081,483,730201145,459,
605201222,672,732201358,226,0342. 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

15. 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
199234,762.30199332,354.10199430,971.70199531,010.801996
32,382.90199733,211.60199836,407.80199938,930.50200043,24
6.20200148,342.40200245,042.60200345,322.70200444,165.602
00550,550.40200662,733.40200767,096.60200870,422.9020097
4,674.30201074,996.80201168,019.60201262,401.20201354,584
.60201439,843.00xType your name here, Last Name FirstPlease
enter your name on the first page
Put graphs hereThis page for graphs only. Other pages are self-
checkingPut solved data for Exercise 1 HereYearTotal State and
Local Per Capita Taxes PaidESForecast5 yr
MA199653,421,417Graph 1 for Exercise
1199764,600,858199867,053,747199924,316,124200066,110,64
2200193,389,137200249,686,023200320,706,410200481,238,03
2Put Graph 1 Exercise 1
Here200549,055,1302006124,202,747200786,126,170200827,86
2,519200985,704,726201081,483,730201145,459,605201222,67
2,732201358,226,034Graph 2 for Exercise 1201420152016Put
Graph 2 Exercise 1 Here
Exercise 29.1To show the cell checking, put a check
here:xGrade Graph 1Percent Correct0%Grade Graph 2Special
RevenueαErrorError SQErrorError
SQMeanYearRevenueESForecastRMSE5 yr
MA199653,421,417199764,600,858199867,053,747199924,316,
124200066,110,642200193,389,137200249,686,023200320,706,
410200481,238,032200549,055,1302006124,202,747200786,126
,170200827,862,519200985,704,726201081,483,730201145,459,
605201222,672,732201358,226,034201420152016Put text
answer hereGrade Text
AnswerCheckGrade000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000009700
Answer 1SES - Non Trending DataαSpecial Revenue0.1Error
SQError

16. SQError1,029,921,173,733,511Error1,100,099,466,542,052Year
RevenueESForecast4,663,95732,092,384.98Mean5 yr
MA(688,154)33,167,747.38199653,421,417RMSE199764,600,8
5853,421,41711,179,441199867,053,74754,539,36112,514,3861
99924,316,12455,790,800(31,474,676)200066,110,64252,643,33
213,467,310200193,389,13753,990,06339,399,0741,552,287,02
0,797,22155100557.6738,288,5791,466,015,307,109,703200249
,686,02357,929,971(8,243,948)67,962,679,098,42363094101.67
(13,408,079)179,776,587,028,988200320,706,41057,105,576(36
,399,166)1,324,899,250,970,87460111134.57(39,404,724)1,552,
732,302,675,672200481,238,03253,465,65927,772,373771,304,
714,650,11650841667.2130,396,365923,939,016,763,843200549
,055,13056,242,896(7,187,766)51,663,981,448,74762226048.87
(13,170,918)173,473,093,343,3872006124,202,74755,524,12068
,678,6274,716,753,794,755,17958814946.565,387,8004,275,564
,428,072,680200786,126,17062,391,98323,734,187563,311,633,
612,17564977668.4621,148,501447,259,100,468,581200827,862
,51964,765,401(36,902,882)1,361,822,720,562,64772265697.88
(44,403,179)1,971,642,294,649,278200985,704,72661,075,1132
4,629,613606,617,841,855,10773696919.6412,007,807144,187,
417,421,755201081,483,73063,538,07417,945,655322,046,541,
895,94674590258.3926,893,47147,519,945,295,525201145,459,
60565,332,640(19,873,035)394,937,523,546,56481075978.232(
35,616,373)1,268,526,056,447,675201222,672,73263,345,336(4
0,672,605)1,654,260,763,141,18065327349.832(42,654,618)1,8
19,416,439,455,820201358,226,03459,278,076(1,052,042)1,106
,792,201,45852636662.2725,589,37231,241,076,313,766201459
,172,87258709365.272Final
Graph201559,172,87258709365.272201659,172,87258709365.2
72
Exercise 29.2To show the cell checking, put a check
here:xGrade GraphPercent Correct0%Please enter your name on
the first pageGrade in Points (All Sheets)0.00Property Tax
LevyFiscal YearTax Levy
(in thousands)Initialize
αβForecastErrorErrorSQMERMSEMeanMA3RMSEMA5MA7Thi

17. s Forecast- 0-
0199234,762.3199332,354.1199430,971.7199531,010.8199632,3
82.9199733,211.6199836,407.8199938,930.5200043,246.220014
8,342.4200245,042.6200345,322.7200444,165.6200550,550.420
0662,733.4200767,096.6200870,422.9200974,674.3201074,996.
8201168,019.6201262,401.2201354,584.6201439,843.02015201
62017Put text answer hereGrade Text
AnswerCheckGrade000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000014
2000
Answer 2Holt Exp - Trending DataProperty Tax LevyFiscal
YearTax Levy
(in thousands)Initialize
αβForecastErrorErrorSQMERMSE7,731.30.950.01(1,069.58)34,
287,346.80MeanMA3(1,924.58)6,760.0055,855.54RMSEMA529
1.378,624.551546.27MA7(2,404.20)10,594.99327,657.5527,657
.551,546.27Holt(1,069.58)5,855.54199234,762.334,484.381,601
.8529,203.825,558.4830,896,711.47199332,354.132,540.661,56
4.5336,086.23(3,732.18)13,929,141.27199430,971.731,128.351,
533.1934,105.19(3,133.52)9,818,932.48199531,010.831,093.35
1,516.6932,661.54(1,650.73)2,724,901.18199632,382.932,296.4
32,394.281,514.4232,610.04(227.11)51,581.08199733,211.633,
246.431,507.4433,908.70(697.12)485,973.37199836,407.836,32
5.071,523.9834,753.881,653.882,735,322.75199938,930.538,87
6.471,534.8037,849.051,081.491,169,623.34200043,246.243,10
4.451,563.1540,411.272,834.938,036,855.60200148,342.440,02
7.748,158.611,599.9044,667.603,674.7513,503,785.22200245,0
42.645,278.351,552.7449,758.51(4,715.96)22,240,241.6920034
5,322.745,398.121,537.6546,831.09(1,508.39)2,275,242.812004
44,165.644,304.141,509.9546,935.77(2,770.14)7,673,668.03200
550,550.450,313.551,557.3145,814.094,736.2822,432,351.7020
0662,733.462,190.281,665.9451,870.8710,862.54117,994,873.2
6200767,096.666,934.601,698.3463,856.223,240.4010,500,187.
45200870,422.970,333.371,716.2468,632.941,789.933,203,831.
57200974,674.374,543.101,742.4972,049.622,624.726,889,139.

18. 62201074,996.875,061.241,729.6076,285.59(1,288.78)1,660,96
0.36201168,019.668,458.151,641.8976,790.84(8,771.25)76,934,
873.33201262,401.262,786.121,564.9070,100.04(7,698.87)59,2
72,624.63201354,584.655,072.901,467.2464,351.02(9,766.44)9
5,383,308.85201439,843.040,677.841,300.2656,540.14(16,697.1
5)278,794,845.25201541,978.111,300.2641,978.11201643,278.3
71,300.2643,278.37201744,578.641,300.2644,578.64
Tax Levy
(in thousands)
Grade Worksheet4Total Points AvailableItem Grade WeightxA
mark here makes the numbers in the grade calculation
visible.0.25Base Points (for trying this exercise)0.75Manual
Points3Points to be graded0%Percent all sheets0.00Graded
Points0Problem 1 Graph 10.1500Problem 1 Graph
20.1500Problem 1 Text0.1500Problem 2 Graph0.1500Problem 2
Text0.1500.25Initial Grade0.750.35Minimum Earned
Points0.6Threshold0.00GradeGrade
TableA100%B90%0C80%239D70%F0%
QuestionsType your name here, Last Name FirstForecasting
Concepts Exercises28.1. The State of Arizona has asked you to
examine tax burdens for residents in preparation for the next
forecasting effort. Use the data in Table 28.3.(a) Prepare a
graph showing the total state and local per capita taxes paid per
year. Identify any outliers.(b) Calculate the level, trend and
growth, and their averages.Table 28.5 State of Arizona: State
and Local Per Capital TaxesYearTotal State and Local Per
Capita Taxes Paid
($)1977729.101978792.061979871.421980928.181981960.5119
821014.0119831058.4419841226.9919851372.0919861470.5019
871559.8519881631.9519891718.1319901804.9919911870.5519
921878.0119931951.5619942017.4119952105.2919962133.5119
972147.0219982230.0419992366.2420002498.9120012553.0620
022592.3420032679.7920042787.5020053128.0220063368.1020
073750.0020083582.3420093202.7420103006.3528.2. In the

19. Arizona tax information in assignment 1, a typographical error
in the data has been discovered. The tax per capita in 2006 was
actually $6,368.10 rather than $3,368.10.(a) Prepare a graph
showing the total state and local per capita taxes paid per year.
Identify any outliers.(b) Using the Windsorizing technique,
adjust the data and prepare a graph showing the original
information and the adjusted information.28.3. Northland is
developing a forecast for its special revenue fund that does not
conform to a trend. Use the data in Table 28.4 to calculate a 5-
year moving average and then use that result to project revenues
for this fund for the next 3
years.Year199653421417.00199764600858.00199867053747.00
199924316124.10200066110642.25200193389137.00200249686
022.50200320706410.20200481238032.40200549055130.40200
6124202746.80200786126169.60200827862519.0020098570472
6.16201081483729.60201145459604.80201222672731.8020135
8226034.0028.4. Prepare a memo to the budget director of
Northland providing a brief explanation of the revenue forecasts
developed for FY 2014 to FY 2016. Based on the results of
assignment 3, provide a recommendation.28.5. River County
receives revenue through property taxes. The budget director
has asked you to build a forecast for the next 3 years. Use the
data in Table 28.5.(a) Prepare a forecast using a 7-, 5-, and 3-
year offset moving average of level and trend.(b) Utilize an
analysis of errors to determine which forecast provides the most
accurate information.Fiscal YearTable 28.5 River County:
Property Tax Revenue(in
thousands)199234,762.30199332,354.05199430,971.67199531,0
10.82199632,382.92199733,211.58199836,407.76199938,930.54
200043,246.20200148,342.35200245,042.55200345,322.702004
44,165.63200550,550.37200662,733.41200767,096.62200870,42
2.87200974,674.33201074,996.80201168,019.59201262,401.172
01354,584.58201439,842.99Type your name here, Last Name
FirstPlease enter your name on the first page
Put Graph answers hereThis page for graphs only. Other pages
are self-checkingPut solved data for Exercise 3

20. HereYearSpecial Revenue199653421417Graph for Exercise
3199764600858199867053747199924316124.1200066110642.2
5200193389137200249686022.5200320706410.2200481238032.
4Put Graph Exercise 3
Here200549055130.42006124202746.8200786126169.62008278
62519200985704726.16201081483729.6201145459604.8201222
672731.8201358226034201420152016
Exercise 28.1To show the cell checking, put a check
here:xPercent Correct0%Please enter your name on the first
pageGrade Graph 1Grade in Points (All Sheets)0.00Exercise
28.1ArizonaYears of Data:341977 to 2010YearTotal State and
Local Per Capita Taxes
PaidLevelTrendGrowthCheckGrade1977729.101978792.060001
979871.420001980928.180001981960.5100019821014.0100019
831058.4400019841226.9900019851372.0900019861470.50001
9871559.8500019881631.9500019891718.1300019901804.9900
019911870.5500019921878.0100019931951.5600019942017.41
00019952105.2900019962133.5100019972147.0200019982230.
0400019992366.2400020002498.9100020012553.060002002259
2.3400020032679.7900020042787.500020053128.02000200633
68.10002007375000020083582.3400020093202.7400020103006
.350000Average000103
Exercise 28.2To show the cell checking, put a check
here:xGrade Graph 2Percent Correct0%Please enter your name
on the first pageGrade in Points (All Sheets)0.00Exercise
28.2:Arizona1977 to 2010YearTotal State and Local Per Capita
Taxes
PaidWinsorizingCheckGrade1977729.101978792.0601979871.4
201980928.1801981960.51019821014.01019831058.440198412
26.99019851372.09019861470.5019871559.85019881631.95019
891718.13019901804.99019911870.55019921878.01019931951.
56019942017.41019952105.29019962133.51019972147.020199
82230.04019992366.24020002498.91020012553.06020022592.3
4020032679.79020042787.5020053128.02020066368.10200737
50020083582.34020093202.74020103006.350Average0Standard
Deviation000Winsorizing 2006038

21. Exercise 28.3 & 28.4To show the cell checking, put a check
here:xPercent Correct0%Grade Graph 3Exercise
28.3:YearSpecial Revenue5yrMAForecast based on
5YrMA199653421417199764600858199867053747Grade199924
316124.1Check0200066110642.25002001933891370020024968
6022.500200320706410.200200481238032.400200549055130.4
002006124202746.800200786126169.600200827862519002009
85704726.1600201081483729.600201145459604.800201222672
731.800201358226034020140020150302016Exercise 28.4:Put
Text Answer hereGrade Text Answer
Exercise 28.5To show the cell checking, put a check
here:xMERMSEPercent Correct0%Please enter your name on
the first pageMA3Grade in Points (All Sheets)0.00MA5Exercise
28.5MA7How many times the trend?4How many times the
trend?3How many times the
trend?11000MEMSEMEMSEMEMSERMSERMSERMSEPropert
y Tax LevyProperty Tax LevyProperty Tax LevyFiscal YearTax
LevyTax Levy Trend7 year offset LevelOffset
TrendForecastErrorError SqFiscal YearTax LevyTax Levy
Trend5 year offset LevelOffset TrendForecastErrorError
SqFiscal YearTax LevyTax Levy Trend3 year offset LevelOffset
TrendForecastErrorError
Sq199234762.30199234762.30199234762.30199332354.051993
32354.05199332354.05199430971.67199430971.67199430971.6
7199531010.82199531010.82199531010.82199632382.9219963
2382.92199632382.92199733211.58199733211.58199733211.58
199836407.76199836407.76199836407.76199938930.54199938
930.54199938930.54200043246.20200043246.20200043246.202
00148342.35200148342.35200148342.35200245042.552002450
42.55200245042.55200345322.70200345322.70200345322.7020
0444165.63200444165.63200444165.63200550550.3720055055
0.37200550550.37200662733.41200662733.41200662733.41200
767096.62200767096.62200767096.62200870422.87200870422.
87200870422.87200974674.33200974674.33200974674.332010
74996.80201074996.80201074996.80201168019.59201168019.5
9201168019.59201262401.17201262401.17201262401.1720135

22. 4584.58201354584.58201354584.58201439842.99201439842.99
201439842.99201520152015201620162016201720172017Check
Grade000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000
0000000000375
Answer 1Exercise xx-1ArizonaYears of Data:341977 to
2010YearTotal State and Local Per Capita Taxes
PaidLevelTrendGrowth1977729.1729.11978792.06792.0662.960
.0863530381979871.42871.4279.360.10019442971980928.1892
8.1856.760.06513506691981960.51960.5132.330.034831605919
821014.011014.0153.50.055699576319831058.441058.4444.430
.043816135919841226.991226.99168.550.159243792819851372
.091372.09145.10.118256872519861470.51470.598.410.071722
700419871559.851559.8589.350.060761645719881631.951631.
9572.10.046222393219891718.131718.1386.180.052807990419
901804.991804.9986.860.050554963819911870.551870.5565.56
0.036321530919921878.011878.017.460.003988131819931951.
561951.5673.550.039163795719942017.412017.4165.850.03374
223719952105.292105.2987.880.043560803219962133.512133.
5128.220.013404329119972147.022147.0213.510.00633228811
9982230.042230.0483.020.038667548519992366.242366.24136.
20.061075137720002498.912498.91132.670.0560678545200125
53.062553.0654.150.021669447920022592.342592.3439.280.01
538545920032679.792679.7987.450.033734000920042787.5278
7.5107.710.04019344820053128.023128.02340.520.1221596413
20063368.13368.1240.080.0767514274200737503750381.90.11
3387369720083582.343582.34-167.66-
0.044709333320093202.743202.74-379.6-
0.10596425820103006.353006.35-196.39-
0.0613193703Average2029.029411764769.00757575760.045127
6273

23. Answer 2Exercise xx-1Arizona1977 to 2010YearTotal State and
Local Per Capita Taxes
PaidWinsorizing1977729.1729.11978792.06792.061979871.428
71.421980928.18928.181981960.51960.5119821014.011014.011
9831058.441058.4419841226.991226.9919851372.091372.0919
861470.51470.519871559.851559.8519881631.951631.9519891
718.131718.1319901804.991804.9919911870.551870.55199218
78.011878.0119931951.561951.5619942017.412017.411995210
5.292105.2919962133.512133.5119972147.022147.0219982230.
042230.0419992366.242366.2420002498.912498.9120012553.0
62553.0620022592.342592.3420032679.792679.7920042787.52
787.520053128.023128.0220066368.15433.56782941862007375
0375020083582.343582.3420093202.743202.7420103006.35300
6.35Average2117.2647058823Standard
Deviation1105.43437451213Winsorizing 20065433.5678294186
Answer 3Special Revenue5yrMAForecast based on
5YrMA1996534214171997646008581998670537471999243161
24.1200066110642.2555100557.6720019338913763094101.675
5100557.67200249686022.560111134.5763094101.6720032070
6410.250841667.2160111134.57200481238032.462226048.8750
841667.21200549055130.458814946.562226048.872006124202
746.864977668.4658814946.5200786126169.672265697.886497
7668.4620082786251973696919.6472265697.88200985704726.
1674590258.39273696919.64201081483729.681075978.232745
90258.392201145459604.865327349.83281075978.2322012226
72731.852636662.27265327349.83220135822603458709365.27
252636662.272201458709365.272201558709365.272201658709
365.272
Answer 5MERMSEMA3-
1924.57831111116760.0004971124MA5291.37488624.5535640
04MA7-2404.203967261910594.9939858546How many times
the trend?4How many times the trend?3How many times the
trend?11000ME-2404.2039672619112253897.560296MSEME-
1924.578311111174382924.1783736MSEME291.374845697606
.7209595MSE10594.9939858546RMSE8624.553564004RMSE6
760.0004971124RMSEProperty Tax LevyProperty Tax

24. LevyProperty Tax LevyFiscal YearTax LevyTax Levy Trend7
year offset LevelOffset TrendForecastErrorError SqFiscal
YearTax LevyTax Levy Trend5 year offset LevelOffset
TrendForecastErrorError SqFiscal YearTax LevyTax Levy
Trend3 year offset LevelOffset TrendForecastErrorError
Sq199234762.3199234762.3199234762.3199332354.051-
2408.249199332354.051-2408.249199332354.051-
2408.249199430971.672-1382.379199430971.672-
1382.379199430971.672-
1382.379199531010.81539.143199531010.81539.143199531010
.81539.14332696.0076666667-
1895.31430800.6936666667210.121333333344150.9747217805
199632382.9241372.109199632382.9241372.109199632382.924
1372.10931445.5126666667-
1250.49530195.01766666672187.90633333334786934.1234401
2199733211.578828.654199733211.578828.65432296.3524-
594.84430511.82042699.75767288691.0987578199733211.5788
28.65431455.1379.624333333331464.76133333331746.8166666
6673051368.46694445199836407.763196.182199836407.76319
6.18231986.208-
310.144431055.77485351.985228643745.581019199836407.763
196.18232201.7723333333746.635333333332948.40766666673
459.352333333311967118.5661387199938930.5412522.781330
14.4428571429274.243333333334111.41619047624819.124809
523823223963.9297678199938930.5412522.78132796.9498810.
741835229.17523701.365813700108.7854096199938930.54125
22.78134000.7541798.981666666735799.73566666673130.8053
3333339801942.03522838200043246.24315.65933609.9058571
429595.46335991.75785714297254.442142857152626930.8040
616200043246.24315.65934388.72361591.773839164.0454082.
15516663989.4440249200043246.24315.65936183.2932182.539
38365.8324880.36823817991.815424200148342.3515096.15135
165.92714285711556.021285714341390.01228571436952.3387
14285748335013.598156200148342.3515096.15136835.800624
47.07744177.03164165.319417349885.7040164200148342.3515
096.15139528.1673344.87442873.0415469.3129913351.876100

25. 1200245042.553-
3299.79837647.45271428572481.525571428647573.555-
2531.0026405971.12400404200245042.553-
3299.79840027.6863191.885449603.3422-
4560.789220800798.1268366200245042.553-
3299.79843506.3643978.19747484.561-
2442.0085963403.07206401200345322.696280.14339651.98671
428572004.53447670.1227142857-
2347.42671428575510412.17894222200345322.696280.143423
93.8812366.19549492.466-
4169.7717386981.8529200345322.696280.14345543.701333333
32037.337333333347581.0386666667-
2258.34266666675100111.6000871200444165.629-
1157.06741500.52557142861848.538857142948894.681-
4729.05222363932.818704200444165.629-
1157.06744176.86821782.987249525.8298-
5360.200828731752.6163207200444165.629-
1157.06746235.8666666667692.165333333346928.032-
2762.4037630870.33440903200550550.3676384.73843065.3915
64.864428571449324.84771428571225.51928571431501897.51
965763200550550.3676384.73845223.88581047.017648364.938
62185.42844776097.29152652200550550.3676384.73844843.62
6-
1392.240666666743451.38533333337098.981666666750395540
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28571453167.25214285719566.158857142891511395.28009262
00662733.41112183.04446684.71921460.833451067.219411666
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5.93848515.50214217.909202148936.332281200767096.622436
3.21148486.17242857143400.4162087.81242857145008.809571
428625088173.3228345200767096.6224363.21149562.9312287
8.21258197.56728899.054879193176.333403200767096.622436
3.21152483.13566666675803.571666666758286.707333333388
09.914666666777614596.4339485200870422.873326.24851893.
37557142863407.203142857165522.18814285714900.68185714
2924016682.6649292200870422.873326.24853973.7454410.813

26. 867206.18643216.683610347053.3825089200870422.873326.24
860126.87643.664333333367770.46433333332652.4056666667
7035255.8205654200974674.3334251.46355047.735428571431
54.359857142967665.17485714297009.158142857149128297.8
715805200974674.3334251.46358993.77985020.034874053.884
2620.4488384956.713421438200974674.3334251.46366750.967
66666676624.167666666773375.13533333331299.19766666671
687914.57707213201074996.804322.47159280.8468571429423
3.111428571476213.2925714286-
1216.48857142861479844.44441631201074996.804322.471650
95.52066101.740883400.743-
8403.93970626190.715721201074996.804322.47170731.275398
0.307333333374711.5823333333285.221666666781351.399136
1099201168019.592-
6977.21263520.00514285714239.158285714380476.638285714
3-12457.0462857143155178002.164428201168019.592-
6977.21269984.8084889.287484652.6702-
16633.0782276659290.407315201168019.592-
6977.21273364.6692633.39475998.063-
7978.47163655999.4978408201262401.172-
5618.4266927.71414285713407.70980558.5501428571-
18157.3781428571329690381.022706201262401.172-
5618.4271042.04421057.236274213.7528-
11812.5808139537065.156529201262401.172-
5618.4272563.5763333333-801.092666666771762.4836666667-
9361.311666666787634156.1204695201354584.578-
7816.59468620.68628571431692.972142857175392.574857142
9-20807.9968571429432972733.206867201354584.578-
7816.59470102.9542-939.0967285.6842-
12701.1062161318098.703678201354584.578-
7816.59468472.5226666667-4091.053666666764381.469-
9796.89195979073.2658811201439842.985-
14741.59367456.5672857143-1164.11962800.0912857143-
22957.1062857143527028729.013583201439842.985-
14741.59366935.2958-3167.658457432.3206-
17589.3356309384726.849427201439842.985-

27. 14741.59361668.4473333333-6804.075333333354864.372-
15021.387225642067.403769201563563.1905714286-
3893.376714285747989.6837142857201559969.0262-
6966.269639070.2174201552276.245-
9392.202333333342884.0426666667201659669.8138571428-
3893.376714285744096.307201653002.7566-
6966.269632103.9478201642884.0426666667-
9392.202333333333491.8403333333201755776.4371428571-
3893.376714285740202.9302857143201746036.487-
6966.269625137.6782201733491.8403333333-
9392.202333333324099.638
Grade Worksheet4Total Points AvailableItem Grade WeightxA
mark here makes the numbers in the grade calculation
visible.0.25Base Points (for trying this exercise)0.6Manual
Points3.15Points to be graded0Percent all sheets0Graded
Points0Graph 10.150Graph 20.150Graph 30.150Problem
40.150.25Initial Grade0.60.35Minimum Earned
Points0.6Threshold0GradeGrade
TableA100%B90%0C80%546D70%F0%