Friday, May 6, 2011
Ch7 project: Mapping Your Future
Wednesday, March 23, 2011
Ch 6 project: Curve Fitting with Polynomial Models



First, I went on Yahoo Finance and look for the opening price of my index and stock for January 5 of the years: 1994, 1995, 1996, 1997, 2000, 2001, 2003, and 2004. Next, I insert the data into my calculator by using the STAT function. Then I try to use the different regression options: quadratic regression, cubic regression, and quartic regression. From there, I choose the correlation coefficient that is closest to 1. Then I use the use the polynomial function to predict the prices for given years: 2002, 2005, 2008, 2010, and 2011. I go on Yahoo Finance again to look for the actual opening prices. Many of the outcomes did not match my predictions, but that takes me onto the next step. Then, I have to look on the internet to research major news events that would explain why my predictions are wrong.
Sunday, December 12, 2010
3D Graph



For this project, I’m supposed to build a 3D project to represent a linear equation. My original equation is x+y+z=3. And I have the corner that contains –x, -y, and z. In order to graph my equation, I have to find where the point would hit each axis. Now my new equation would be –x-y+z=3. Then to solve for each axis, I just plug in 0 for the two other variables. So I’m left with (-3,0,0), (0,-3,0), and (0,0,3). Lastly, I just have to connect the points with a yarn.
Monday, December 6, 2010
Ch 3.4 Linear Programming
Tuesday, November 9, 2010
Ch 2 project-Mercedes McLaren


For my chapter 2 project, I chose the Mercedes McLaren. First, I find mileages for speeds {55,60,65,60,75,80}, which is {16,15.5,14.7,13.3,12.3,11.5}. Then I made a graph of all the numbers according to the data and it comes out with a strong negative correlation. Then I chose (15.5,60) and (16,55) and use the slope formula to find the find the slope, which is -0.1. Next, I use the point slope formula to find the equation of two points, which turns out to be y=-0.1x+21.5. Then I use the graphing calculator and graph the data and find the line of best fit with its equation and correlation coefficient. The correlation coefficient is -0.992104599 and the equation is y=-0.1914285714x+26.8047619. If the speed of the car is 55 miles per hour, then the mileage would be 16.27619047 miles per gallon. If the mileage is 28 miles per gallon, then the speed would be approximately 25 miles per hour.