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7/27/2019 Management Report Las Vegs Visitors_Fadwa Talaoui
1/8
Management Report for Las Vegas Visitors
Prepared by:
Fadwa Talaoui
Date: June 4, 2013
7/27/2019 Management Report Las Vegs Visitors_Fadwa Talaoui
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Nova Southeastern University
H. Wayne Huizenga School
of Business & Entrepreneurship
Assignment for Course: QNT5040
Submitted to: Dr. Ron Mesia
Submitted by:Fadwa Talaoui
Date of Submission: June 4, 2013
Title of Assignment: Las Vegas Visitors
CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I
received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources fromwhich I used data, ideas or words, either quoted directly or paraphrased. I also certify that this paper was
prepared by me specifically for this course.
Student's Signature: _____Fadwa_________________________
*****************************************************************
Instructor's Grade on Assignment:
Instructor's Comments:
7/27/2019 Management Report Las Vegs Visitors_Fadwa Talaoui
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TITLE OF RUBRIC: Case Analysis (Page 1 of 2) Course: QNT 5040
LEARNING OUTCOME/S: CC4, 6, 7 & 8; (see syllabus) Date: june 4, 2013
PURPOSE: To facilitate effective decision making under uncertain
conditions by quantifying risk.
Name of Student:
Fadwa Talaoui
VALIDITY: Best practices in statistical analysis. Name of Faculty: Dr. Ron MesiaCOMPANION DOCUMENTS: Assignment and format instructions, Case
Earning maximum points in each box in PROFICIENT column and / or
points in columns to the right of PROFICIENT meets standard.
>
Performance
Criteria
Basic Developing Proficient Accomplished Exemplary Score
Identify the
problem
(CC4)
Does not
identify theproblem, or does
not identify theright problem.
(0 pts)
Identifies
symptoms
(5 pts)
Identifies some
elements of theproblem.
(10 pts)
Substantially
identifies theproblem.
(12 pt)
Effectively
and succinctlyidentifies the
problem.
(15 pts)
Describes
assumptions
and methods
(CC4)
Does notdescribe
assumptions andmethods used
(0 pts)
Does notprecisely
describe theassumptions and
methods used
(3 pts)
Somewhatdescribes
assumptionsand methods
used
(7 pts)
Substantiallydescribes
assumptions andmethods used
(8 pts)
Effectivelydescribes
assumptionsand methods
used
(10 pts)
Calculate
statistics
using a
spreadsheet
(CC6)
Does notcalculate
appropriatestatistics using a
spreadsheetand/or
does not provide
evidence ofcalculations
(0 pt)
Calculatesappropriate
statistics using aspreadsheet
(most answersare notcorrect)
(13 pts)
Calculatesappropriate
statistics usinga spreadsheet
(not all answersare correct)
(21 pts)
Calculatesappropriate
statistics using aspreadsheet (most
answers arecorrect)
(25 pts)
Effectivelycalculates
statistics usinga spreadsheet
(almost allanswers are
correct)
(30 pts)
Explainimplications
of
output of
statistical
analysis
(CC7)
Does not explain
implications ofoutput of
statisticalanalysis
(0 pt)
Partially
explainsimplications of
output ofstatistical
analysis
(3pts)
Somewhat
explainsimplications of
output ofstatistical
analysis
(7 pts)
Substantially
explainsimplications of
output ofstatistical
analysis
(8 pts)
Effectively
explainsimplications
ofoutput of
statisticalanalysis
(10 pts)
TITLE OF RUBRIC: Case Analysis, cont. (Page 2 of 2) Course: QNT 5040
7/27/2019 Management Report Las Vegs Visitors_Fadwa Talaoui
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LEARNING OUTCOME/S: CC4, 6, 7 & 8; (see syllabus) Date:
PURPOSE: To facilitate effective decision making under uncertain
conditions by quantifying risk.
Name of Student:
VALIDITY: Best practices in statistical analysis. Name of Faculty:COMPANION DOCUMENTS: Assignment and format instructions, Case
Earning maximum points in each box in PROFICIENT column and / or
points in columns to the right of PROFICIENT meets standard.
>
Performance
Criteria
Basic Developing Proficient Accomplished Exemplary Score
Generates
solutions
based on
analysis and
context
(CC4)
Does not
generateappropriate
solutions basedon analysis and
context.
(0 pt)
Generates
solutions (doesnot justify
conclusions).
(7 pts)
Partially:
*generates andjustifies
solutions basedon analysis and
context; and
*justifiesconclusions.
(15 pts)
Substantially:
*generates andjustifies solutions
based on analysisand context; and
*justifies
conclusions.
(17 pts)
Effectively:
*generates andjustifies
solutionsbased on
analysis and
context; and*justifies
conclusions.(20 pts)
Uses
prescribed
format
(including
cover sheet
and grading
rubric)and
writing style
(language,
grammar,
punctuation,
and spelling)
(CC8)
Does not useprescribedformat and
writing style
(0 pt)
May useprescribedformat OR
writing style
(only one)
(3 pts)
Generally usesprescribedformat and
writing style
(7 pts)
Substantially usesprescribed formatand writing style
(8 pts)
Effectivelyuses
prescribedformat and
writing style
(10 pts)
Uses APA
format
(APA Style
Manual 6.0)
(CC8)
Does not providereferences.
(0 pt)
Does not applyAPA style toreferences.
(1pts)
Partiallyapplies APA
style toreferences.
(3 pts)
Substantiallyapplies APA
style toreferences.
(4 pts)
Effectivelyapplies APAstyle to allreferences.
Optimalquality andquantity of
citations.
(5 pts)
OVERALL GRADE (100 total possible points): %
Comments:
______________________________________________________________________________________________
______________________________________________________________________________________________
_____________________________________________________________________
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Management Report for Las Vegas Visitors
Executive Summary
From small beginnings, Dimitru created a company offering a limousine service and now
it is considered to be one of the best services in Las Vegas with a fleet of 17 vehicles. In 2012, he
decided to replace three old limousines and expand the fleet with two new vehicles.
After submitting the business plan to the bank to finance his purchases, they were not
comfortable with the companys revenue forecast. The bank needed to be convinced that during
2013 the revenues will grow. David, the son of Dimitru, was asked to forecast the number of
visitors for 2013 preparing a strong argument about the revenue of the company to the bank.
The forecasting of the companys revenue will be based on three models. Regression,
Additive and Multiplicative Model. Based on these models we will choose the best model thatgives the most accurate results compared to the original data.
Background
After working, in a hotel in Las Vegas, as parking attendant, parker in the valet service
then a driver for the hotel limousine service. Dumitru Mironescu and his friend, David, created
their own company and started a limousine Service. The company was considered to be one of
the best services in Las Vegas with a fleet of 17 vehicles. Therefore, in 2012 and due to the
recent recession the company was little bit affected. However, Dumitru decided to replace three
of his old limousines and enlarge the fleet with two new vehicles.
With the help of his son, Denis, who is attending an MBA program. Dumitru submitted a
business plan to his bank to finance his new purchases. As a result, the bank requested more
details about the revenue forecast. Because they think that the companys revenue will not grow
in 2013 given the depressed state of the economy.
Dimitru asked his son to help him using his education to prove that the companys
revenue will grow in 2013.David knew that there is a strong relationship between the revenue of
the limousine service and the number of visitors to Las Vegas. This pushed him to make someresearch in the internet and find annual and monthly data from 1970 to 2011 of the number of
visitors to Las Vegas.
From the monthly data, David needs to forecast the number of visitors for the December,
2012 through December, 2013 and prepare a convincing argument for the bank showing that the
revenue would grow rather than remaining fixed.
7/27/2019 Management Report Las Vegs Visitors_Fadwa Talaoui
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Problem:
Denis needs to forecast the number of visitors to Las Vegas and prove that the revenue
will increase in 2013.
Analysis
The following analysis will support that the companys revenues forecast will increase in
2013.There is a strong correlation between the number of visitors to Las Vegas and the revenues
for limousine services. So in order to forecast 2013 revenues, we need to use previous data of
visitors to Las Vegas. The following forecast will based on the visitors that visited Las Vegas
between 1970 and 2011.
For our analysis, we are going to use three different models (Regression, Additive and
Multiplicative) in order to choose the best model that will give the accurate results. Our used
data is a time series which means that the set of date that we are using to forecast varies over
time and made up of trend, seasonality, cycle behavior and randomness.
.
Below is a table that compare the results of our three forecasting methods.
REGRESSION HDE ADDITIVE HD MULTIPLICATIVE
ME 0.0000 4,222 -895
MSE 15,844,163,145 10,462,933,589 6139138947
RMSE 102288 102,288 78353
MAPE 3.45% 2.60% 1.91
U 0.620680739 0.521181866 0.39217292
In order to compare between the three models, we compare the Thiels U and the Mean
square error of each model. A good forecasting model has a value of U
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Below are the graphs that compare the forecasted results of each model to the original data:
From these three graphs, we can say that the regression and additive models provide a big
fluctuated forecasting date compared to the original data while the multiplicative model provides
excellent forecasting estimates with little to non-existing fluctuation from the original data and
also the red line is matching the blue line which supports the previous claims concerning the
estimates of the Mean Square Error.
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Conclusion
To conclude and after running the three forecasting models, we noticed that the
multiplicative Model is the only model that supports the forecasting and gives accurate data
compared to the reality. This decision was made after finding that this model has the lowest
fluctuation between the forecasted numbers of visitors and the original date (MSE). Also the
model has the lowest U.
Starting from the Results of 2013 forecast, we can clearly notice that there will a growth
in the number of visitors which will support Dumitru convincing the bank to finance his
purchases.
Bibliography
Microsoft Office Excel. (2007). Redmond, WA: Microsoft Corporation.