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

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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 ...

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