Management Report Las Vegs Visitors_Fadwa Talaoui

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    Management Report for Las Vegas Visitors

    Prepared by:

    Fadwa Talaoui

    Date: June 4, 2013

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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:

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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

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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.

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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.