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Statistical Data Project What the heck is a good solidifying 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 pay off with something that would interest me. later thinking of a good group to start with, I chose which set of stats I would use from unrivaled of their seasons. I chose the 1999 St. Louis Rams season. The first set of stats that popped out in my look was there terrible amount of points per peppy. I made positive(predicate) that if I utilise this that it would give me enough points to plot on my graphs, and it did. They play hexadteen 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 comparisons: linear, quadratic, three-dimensional, exp unityntial, power, and logarithmic. I then took my calculator numbers and submitted them into my Microsoft Excel graphs. I as w ell found the dower of error (P/E) for each graph. To represent my data for this project I had to find the lift out 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 introduction 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 predi ct a stimulate to a future game such as a s! eventeenth 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 estimable essay, order it on our website: BestEssayCheap.com

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