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Personal Model

Personal Model. 1 / 4 Pick a topic / subject That interests you Research Data Long (50+ years) and Short Term (5 – 10 years) Data Points. 2 / 4 Determine if the Data fits Linear Model F(x) = mx + B Quadratic Model F(x) = ax 2 + bx +c Exponential Model F(x) = a x.

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Personal Model

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  1. Personal Model • 1 / 4 • Pick a topic / subject • That interests you • Research Data • Long (50+ years) • and Short Term (5 – 10 years) • Data Points • 2 / 4 • Determine if the Data fits • Linear Model • F(x) = mx + B • Quadratic Model • F(x) = ax2 +bx +c • Exponential Model • F(x) = ax

  2. Personal Project • 3 / 4 • Predict what the “value” will be in: • 2012 • 2020 • 4 / 4 • Defend Prediction • 2012 • 2020 • Do a 5 minute “Presentation” to the class displaying your results • Be prepared to defend your “Prediction”

  3. “Possible” Topics** • Cost of Barrel of Oil • Numbers of Illegal Immigrants entering US • Price of Gold • Number of Abortions • Number of Divorces • Cost of a home • Cost of a loaf of bread • % of CO2 in atmosphere • Global Temperature • Sea Level increase • Family Income levels ** Taken from CNN Headlines

  4. 2011 Assignments • Mulherin: • Davis - White: Concussions Soccer • Fisher: Diamonds Prices • Pennington: Oil • Chen: Earthquakes • Betancourt: Earthquakes San Andreas • Preece: India Population • Vandewater: Assault Rifles in US since 1960 • Luo: CHINA GDP

  5. Topics Ashton Value of US dollar Mike Corn Futures James Sea Level or Death by coconuts Wylie Legal Immigration to the US Aneth Abortions in US Alex B Change Exxon / Mobil profits Armstead New Born Weights Gabi Poverty in Haiti Alyssa Pregnancy Tyrone Connecticut Income Rannie Aging of population in China Catherine Divorce Rate in US Nat World Population Growth Mali Manufacturing products in China Wesley US Murder rate Yan Death by Hunger (Starvation) Worldwide Andrea US Divorce Rate Rachel Global Warming (C02 levels in atmosphere)

  6. Grades • Abernethy 3.8 - .2 • Armstead 3.91 • Batamuliza 3.9 • Biedermann 0.0NR • Chen 2.4 • deMolina 3.7 • Frazier 3.9 • Fresne 4.0 • TFreston 3.0 • W Freston 1.5 • Ghaffaar 2.5* • Harvie 0.0NR • Novas 1.5 • Perry 2.5 Last min • Snyder NR-Sick -FLC • Thomas 1.5 • VidalBouret 3.6 • Wu 4.0

  7. Presentation Selection • Abernethy 4 • Armstead 2 • Batamuliza 9 • Biedermann 12 • Chan 18 • deMolina 11 • Frazier 8 • Fresne1 • T Freston 14 • W Freston 5 • Ghaffaar 3 • Harvie 10 • Novas 13 • Perry 17 • Snyder 7 • Thomas 6 • Vidal Bouret 15 • Wu 16

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