MAT 240 Module Three Assignment Joshua Rivera

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Southern New Hampshire University *

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240

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Economics

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Apr 3, 2024

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docx

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Selling Price and Area Analysis for D.M. Pan National Real Estate Company 1 Report: Selling Price and Area Analysis for D.M. Pan National Real Estate Company Joshua Rivera Southern New Hampshire University
Selling Price Analysis for D.M. Pan National Real Estate Company 2 Introduction Hired as a junior analyst by D.M. Pan Real Estate Company, I’ve been tasked with preparing a report that examines the relationship between the selling price of properties and their size in square feet. For this examination, I’ve selected a random sample of 30 from the East North Central region to conduct a complete initial analysis report to provide to the team. Representative Data Sample East North Central Square Feet Listing Price 1,693 278,700 1,307 163,000 2,081 218,300 1,986 256,700 1,688 207,500 1,493 225,300 1,789 226,200 2,033 226,400 1,201 139,200 1,463 154,300 1,230 201,000 1,783 197,600 1,294 181,400 1,666 184,900 2,014 243,200 1,157 174,500 2,081 324,400 1,692 236,700 1,752 240,500 1,853 265,700 1,978 270,600 1,494 192,400 1,777 222,500 1,651 221,600 1,441 203,800 1,550 227,600 1,416 160,800
Selling Price Analysis for D.M. Pan National Real Estate Company 3 3,581 461,400 1,676 225,900 1,434 187,900 Square Feet Listing Price mean median standard deviation mean median standard deviation 1,708 1,682 443.8321159 224,000 222,050 60186.06208 Data Analysis The regional sample created shows only 3% of the national market. Comparing the regional sample with the national sample, the trend is very similar. In both samples, the larger the square feet, the higher the price of the home. In contrast, the 3% of the regional sample does not accurately represent the overall mean of square feet and home prices. The national average homes are approximately $100,000 higher than the regional sample; and the square feet is 400 greater than the ladder. To get a random regional sample, I randomized all 100 of the East North Central region homes using excel macros then selected the first 30 samples to chart. To get a truly random sample for the East North Central region, I would have used all 100 samples to better represent the national population, increasing it from 3% to 10%. Scatterplot
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