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Statistical Data jutting What the heck is a good set of statistics for this assume? That was the question I had to come to for the first time. I homogeneous sports, so I forecast I would stick with something that would engagement me. later thinking of a good team to split up 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 bulge in my mind was at that place terrible amount of points per peppy. I made sure that if I utilise this that it would give me plentiful points to plot on my graphs, and it did. They run away 6teen 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 utilise each of my six equations: linear, quadratic, three-dimensional, exponential, power, and logarithmic. I then took my calculator numbers racket and submitted them into my Microsoft Excel graphs. I as well found the invest of error (P/E) for each graph. To cook up my data for this project I had to mark the best graph, and to do that I would have to work which one had the smallest P/E. My six P/Es were as follows: linear-601.7, quadratic-601.7, cubical-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 acquire two points of interpolation and extrapolation to suspensor model the prediction of an outcome. These points besides came from my cubic equation graph. To find my extrapolation point I urgency to predict a add up to a future peppy such as a seventeenth bet. Under my (x,y) circuit card on my calculator I find that the seventeenth game has a predicted score of 36. If you requirement to get a honourable essay, order it on our website: Ordercustompaper.com

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