Statistical Data Project What the heck is a good set of statistics for this abide? That was the question I had to doctor for the first time. I like sports, so I figured I would stick with something that would interest me. later thinking of a good team to start with, I chose which set of stats I would use from one of their seasons. I chose the 1999 St. Louis Rams season. The first set of stats that popped out in my mind was there terrible amount of points per peppy. I made sure that if I utilise this that it would give me enough points to plot on my graphs, and it did. They play sixteen adventures in a season so I knew that would be more than enough.
The Project I assessed my data and punched it in the calculating machine. I used each of my six equations: linear, quadratic, three-dimensional, exponential, power, and logarithmic. I then took my calculator numbers and submitted them into my Microsoft Excel graphs. I as well found the dower of error (P/E) for each graph. To represent my data for this project I had to find the best graph, and to do that I would have to determine which one had the smallest P/E. My six P/Es were as follows: linear-601.7, quadratic-601.7, cubic-578.48, and exponential-608.1, power-670.1, ln-654.58.
The cubic regression had the smallest percentage. That was the one I chose. Next it was time to admit two points of interpolation and extrapolation to help model the prediction of an outcome. These points also came from my cubic equation graph. To find my extrapolation point I indispensability to predict a score to a future game such as a seventeenth game. Under my (x,y) card on my calculator I find that the seventeenth game has a predicted score of 36.
If you want to get a full essay, wisit our page: write my paper
No comments:
Post a Comment