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TEEN PREGNANCY SINCE 1970. BY xxx. Thesis. In this project we are researching the problem of TEEN PREGNANCY. We chose this topic to make people aware of the actual amount of teen pregnancies there are in a year.
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TEEN PREGNANCY SINCE 1970 BY xxx
Thesis In this project we are researching the problem of TEEN PREGNANCY. We chose this topic to make people aware of the actual amount of teen pregnancies there are in a year. Our hypothesis is that If we were to aware people of the actual numbers of teen pregnancy, there will be a decrease in the numbers, because teens would be less likely to get pregnant at a younger age now that they know the consequences of their actions.
Importance • This topic is important because in many cases, the life of a teen who gets pregnant is basically losing all of it future career that is ahead of them such as going to college, and being a good role model to its siblings. • That person who is now pregnant has a responsibility of another life, and if anything is to happen to that child then it would be the teens fault. • People should care about this topic because teens are known as the future , and without teens there would be no future.
To find our research we looked up “teen pregnancy statistic” on Google. When we looked it up we found a site that had data that went back to the 1970. http://micpohling.wordpress.com/2008/01/30/us-teenage-pregnancy-rate-birth-rate-and-abortion-rate-1972-2005/ How we did our research to verify
What we expected to find… • When we first started to think about this, we thought that the rate of teen pregnancy would be going up, but instead it resulted going down, this could be because Teens have been focusing on their education, future, or using protection.
Line of regression • In this graph below we have the statistics of teen pregnancy from 1970 to 2006. The data shows that throughout the years the data has decreased but then rises in the 1900’s, but then decreases. • So what we did in order to have our data more accurate we cut the data into 1990-2006. which makes the data seem like it is decreasing at accurate amount as seen in the following slide.
Line of regression cut from 1990-2006 • As you can see in the following graph , the data has been shorten from 1990 to 2006. The line of best fit shows that y= -1.539x + 3125.7. with R being .9867. The correlation coefficient seems to be a strong positive correlation because it is close to 1. • In future reference the data shows that in 2010 in teen pregnancy should be at 30,000
Quadratic of regression The Correlation coefficient is a strong positive because it is .98 which is near to 1 which makes it a strong positive correlation. The prediction in this graph is that in 2010 there should be about 35000 teens pregnant
Log regression The correlation coefficient is fairly a strong positive , because R is equal to 0.986 which is rounded to .99 which is really close to 1. Using this equation as future reference it shows that in 201 we should have approximantly 30,000 teens pregnant
Which equation best fits my data ? • The quadratic regression seems to best fit my data because the data is spread out going up and down and, the quadratic regression is more accurate on the data shown. • This is important to know because if the quadratic graph shows that it is accurate to the data , we will have a higher accurate prediction of how many teens will be pregnant in future years.
