Little-IRP Memorandum.docx

Little-IRP Memorandum.docx - March 2 2019 To Dr Shehane...

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March 2, 2019 To: Dr. Shehane Subj: Independent Research Project Report: Avocados IRP Summary: Is there a statically significant correlation between avocado prices and the cities in which they are sold? In other words, does the average avocado price vary by city? The subject matters because it is somewhat trendy for millennials to eat avocados. Therefore, finding a real trend based on data may help avocado- loving millennials decide where to live. Maybe future data will show a correlation between avocado prices and cities highly populated by millennials. Until that data comes out, this data will have to answer the question of Do avocados prices, and the cities they are sold on having a statistically significant correlation? This dataset contains 18,249 records with 13 attributes. It came from Kaggle, on online database website. The data includes avocados descriptions and their average prices. The data is broken down by city and average price. The data is ratio data since it is broken down by average prices. I first used SAS to run a Correlation Analysis. After comparing the data, I ran a Linear Regression to find correlations. The results were interesting. The lowest prices were for organic avocados in the Cincinnati Dayton region at $0.44 with a volume of 64,057. The highest volume accrued at 62,505,647 in the US at $0.87. It does seem the higher the volume, the higher the price and those were conventional avocados. Issue Identification: Do avocados prices and the cities they are sold on having a statistically significant correlation? The answer to this question would be yes. The highest priced avocados are in San Francisco at $3.25 with a volume of 16,701. The volume is lower for this high-priced avocado. It seems the region or area has more to do with the price rather than the people that inhabitant those areas. 1
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Issue Analysis: I plan to find potential correlations by using a Linear Regression on SAS. I am going to use the average price as the dependent variable and the city or region as the continuous variable. I used a 95% confidence level and confidence limits for estimates. I manipulated the data to check which variables
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