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    Variables, Model and Results for Python Electronics

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    - Identify the variables of the model to estimate the market demand for Python Electronics.
    - Estimate this model using the data provided for China, India, and Mexico.
    - Interpret the results for managerial actions and applications for Python Electronics, including comments on the strengths and limitations of regression modeling for this purpose.

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    © BrainMass Inc. brainmass.com June 3, 2020, 7:32 pm ad1c9bdddf
    https://brainmass.com/business/managerial-statistics/variables-model-results-python-electronics-102725

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    Product demand estimates
    Prepare a 500- to 1,000-word memo below addressing each of the following:
    • Identify the variables of the model to estimate the market demand for Python Electronics.
    • Estimate this model using the data provided for China, India, and Mexico.
    • Interpret the results for managerial actions and applications for Python Electronics, including comments on the strengths and limitations of regression modeling for this purpose.

    Third Quarter 2002 Data (Annualized)

    Country % change in GDP % change in Industrial Production % change in Consumer Price Trade Balance in last 12 months ($billions) Foreign Reserves ($billions) % change in Local Currency Sales/Demand
    Python Electronics ($millions)
    China +8.1 +13.8 -0.7 +29.1 +258.6 -7.9 500
    Hong Kong +0.5 -11.2 -3.7 -7.7 +111.2 -16.1 50
    India +6.0 +5.7 +3.9 -5.1 +59.5 -11.7 400
    Indonesia +3.5 -13.8 +10.1 +26.6 +29.3 +3.8 60
    Malaysia +3.8 +5.9 +2.1 +12.8 +33.0 -5.5 150
    Philippines +4.5 -12.0 +2.9 +2.6 +13.2 -12.8 200
    Singapore +3.7 +10.4 -0.4 +7.5 +80.7 -6.3 165
    South Korea +6.3 +3.4 +2.8 +9.9 +116.0 +1.1 180
    Taiwan +3.0 +12.5 -0.7 +18.2 +156.4 -18.4 220
    Thailand +5.1 +9.8 +0.4 +3.8 +37.7 +19.1 170
    Argentina -13.6 -3.5 +38.5 +14.1 +9.2 -59.0 210
    Brazil +1.0 +0.9 +7.9 +9.9 +37.8 -54.1 250
    Chile +1.7 +5.2 +2.3 +2.2 +14.9 -20.9 270
    Colombia +2.2 +2.7 +6.0 +0.5 +10.6 +5.5 190
    Mexico +2.1 +0.7 +5.0 -8.9 +46.5 -16.0 310
    Egypt +4.9 +7.8 +2.7 -7.9 +13.0 -2.5 370
    Israel -1.7 -2.8 +6.4 -6.2 +24.6 -32.1 250
    South Africa +2.2 +8.2 +12.5 +3.4 +5.9 +6.3 230
    Turkey +8.2 +7.2 +37.0 -11.4 +25.1 -36.2 320
    Poland +0.8 +6.7 +1.3 -10.3 +28.2 -1.6 180

    Company Sales History by Country
    Python Overall Price Level in Market, Indexed on Total Company Benchmark
    Country
    2002 2001 2000 1999 1998 1997 1996 1995 1994 1993
    China 92.0 93.0 92.0 92.3 92.4 92.3 91.5 91.6 91.5 91.5
    Hong Kong 105.0 104.0 102.0 98.0 101.3 100.4 102.9 100.5 99.6 99.1
    India 96.0 97.0 97.0 96.7 96.9 96.9 95.9 96.1 96.1 96.0
    Indonesia 98.0 96.0 97.0 97.0 96.7 96.9 96.2 101.0 96.1 96.1
    Malaysia 97.0 97.0 96.0 96.7 96.6 96.4 95.9 95.8 95.6 95.7
    Philippines 96.0 96.0 97.0 96.3 96.4 96.6 95.5 100.0 95.8 95.7
    Singapore 101.0 100.0 100.0 100.3 100.1 100.1 100.3 100.1 100.1 100.2
    South Korea 96.0 99.0 98.0 97.7 97.0 100.0 96.9 97.4 96.8 97.4
    Taiwan 99.0 100.0 101.0 100.0 100.3 100.4 99.2 99.5 99.6 99.5
    Thailand 96.0 97.0 96.0 96.3 96.4 96.3 95.5 95.6 95.5 95.5
    Argentina 110.0 106.0 101.0 105.7 104.2 103.6 104.2 102.7 102.1 103.0
    Brazil 104.0 102.0 103.0 103.0 102.7 102.9 102.2 101.9 102.1 102.1
    Chile 103.0 102.0 102.0 102.3 102.1 102.1 101.5 101.3 101.3 101.4
    Colombia 103.0 103.0 102.0 102.7 102.6 102.4 101.9 101.8 101.6 101.7
    Mexico 104.0 101.0 101.0 102.0 101.3 101.4 101.2 100.5 100.6 100.8
    Egypt 100.0 99.0 98.0 99.0 98.7 98.6 98.2 97.9 97.8 97.9
    Israel 107.0 105.0 105.0 105.7 105.2 105.3 106.5 106.0 106.1 106.2
    South ...

    Solution Summary

    Excel and Word documents answer a variety of questions on the data and results of a business model.

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