Week 9 Linear Regression Analysis Excel Project

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    WEEK 10 ACTIVITY –

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    MULTIPLE REGRESSION ANALYSIS

    MULTIPLE REGRESSION ANALYSIS

    Amazon

    .com has become one of the most successful online merchants. Two measures of its success are sales and net income/loss figures. The data can be found in the file, Amazon.

    Use Excel to complete the following:

    1. Construct a scatter plot for Amazon’s net income/loss and sales figures for the period 1995–2015.
    2. Determine a polynomial model, including its order (or degree), for Amazon’s net income/loss and sales figures.

    Use Word to complete the following:

    1. Explain your process of determining the polynomial model
    2. Submit your work in a Word document and attach your Excel file.
    3. WEEK 9 ACTIVITY – LINEAR REGRESSION ANALYSIS

    Linear Regression Analysis

    Terry

    Downes

    owns a commercial cleaning company. He has conducted a survey of customers to determine how satisfied they are with the work performed. He devised a 100-point rating scale—with 0 being poor and 100 being excellent service, selected a random sample of 14 customers, and asked them to rate the service. He also recorded the number of worker hours spent in the customer’s facility. These are in the file named Downes.

    Use Excel to complete the following:

    1. Develop a scatter plot showing the variables, rate of service and worker hours, with the y variable on the vertical axis and the x variable on the horizontal axis, and indicating the type of relationship.
    2. Develop a linear regression model to explain the variation in the service rating.

    Use Word to complete the following:

    1. Describe the model, showing the results of the pertinent hypothesis tests, using a significance level of 0.10.
    2. Submit your work in a Word document and attach your Excel file.

    11:05
    o blackboard.strayer.edu
    Time (x) Rating (y)
    15
    85
    2
    60
    3
    70
    3.5
    72
    10
    80
    2.3
    65
    3.2
    70
    25
    90
    16
    84
    2.7
    70
    16
    82
    4
    75
    4.5
    77
    89
    20 E
    »
    +
    6
    11:06
    o blackboard.strayer.edu
    Sales
    Income
    Year
    0
    -0.3
    1995
    0.02
    -5.7
    1996
    0.15
    -27.5
    1997
    0.61
    -124.5
    1998
    1.64
    -719.9
    1999
    2.76
    -1411.2 2000
    3.12
    -567.3
    2001
    3.93
    -149.1
    2002
    5.26
    35.3
    2003
    6.92
    588.5
    2004
    8.49
    359
    2005
    10.71
    190
    2006
    14.84 476
    2007
    19.17 4270
    2008
    24.51 5531
    2009
    34.2
    7643
    2010
    48.08 10789
    2011
    K
    +
    6

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