Yossry Helal Mth220-week 3 03/31/2017 The Data of the Midicaid and the f(x) = 0.0544289044x^2 - 214.5721445003x + 211445.826551454 R = 0.991088986 ChartAnnual Title S Midicaid Year MD spent 2006 36.2 2007 41.4 2008 48.6 2009 51.5 2010 54.2 2011 57.3 2012 61.5 2013 66.4 2014 71.2 2015 76.8 2016 82.4 90 80 70 60 50 40 30 20 10 0 2004 2006 2008 2010 2012 Chip Annual 45 40 35 f(x) = 0.0839160839x^2 - 335.2577622283 Chip Annual 45 Chip spent 2006 14.2 2007 15 2008 15.8 2009 20.6 2010 22.5 2011 23.6 2012 25.6 2013 27.4 2014 29.6 2015 31.8 2016 38.7 40 35 30 Millions Year f(x) = 0.0839160839x^2 - 335.2577622283 R = 0.9718670499 25 20 15 10 5 0 2004 2006 2008 2010 1.Which of the trendlines fits the data better? How can you tell? I belive there is strong relationship in both treadlines espicially the second one where we can see the R^2 vlaue is .97 that tell that this trendline is more stonger than first one which is R^2 .89 2.Compare and contrast the shape of the linear regression trendline with the shap the quadratic , I think linear regression trendline always will fit the data better because there no way data can be dropped alo it will compare the different between different variables and help predict future numbers better. 3.Which do you think will eventually grow faster? Thinking about the type of data have, do you think your data will grow quickly over time? I think as long my data wil grow over the time as long as the Governate allow to the people who can't afford to buy own insurance and enroll them in insurance during the year, so every year this number w up even higher as long as the Governate give this service for free. .Which (lines or quadratics) has a minimum or maximum value? Thinking about the type data you have, do you think your data has a minimum or maximum? so according to the medicaid.gov and kff.org the minimum value was in 2006 for Midicaid was 36.2 million Dollars a maximum was in 2016 went up to 82.4 Million dollars so that means this number will keep incre every year. Refernces : https://www.medicaid.gov/medicaid/outreach-and-enrollment/index.html http://kff.org/medicaid/state-indicator/total-medicaid-and-chip-child-enrollment/ Refernces : https://www.medicaid.gov/medicaid/outreach-and-enrollment/index.html http://kff.org/medicaid/state-indicator/total-medicaid-and-chip-child-enrollment/ Yossry Helal Mth220-week 3 03/31/2017 Data of the Midicaid and the Chip benifiers 45003x + 211445.826551454 ChartAnnual Title Spent Midicaid 2008 2010 2012 2014 Chip Annual spent f(x) = 0.0839160839x^2 - 335.2577622283x + 334859.79621425 2016 2018 Chip Annual spent f(x) = 0.0839160839x^2 - 335.2577622283x + 334859.79621425 R = 0.9718670499 06 2008 2010 2012 u tell? I belive there is strong linear ee the R^2 vlaue is .97 that tell us n trendline with the shape of ta better because there no way the ariables and help predict future ng about the type of data you I think as long my data will ple who can't afford to buy their o every year this number will go ree. e? Thinking about the type of mum? so according to the id was 36.2 million Dollars and the s this number will keep increasing ollment/ 2014 2016 2018 ollment/