on mx + b

so mx+b (or mx plus bee, as mxplusb was not an available domain) is an idea that through analysis, a food concept can be distilled via a collaborative, data-driven process. the food concept is open-sourced, in that i will try to post as much as i can about the process, and invite readers and tasters to give as much feedback as possible. if you would like to work on the project, i invite you to volunteer and i will do my best to welcome and reward your contribution.

in math, mx+b is shorthand for the form of a line in a 2D cartesian coordinate plane, where m is the slope and b is the y-intercept. see: http://en.wikipedia.org/wiki/Linear_equation

in statistics, OLS regession takes a cluster of data points in a 2D plane and solves for a "m" and a "b" to find a line that best fits the correlation inherent in the cluster of points. see: http://en.wikipedia.org/wiki/OLS_Regression

that is what i like about referring to this project (and not necessarily the food concept's name) as mx plus b. i don't have all the answers, i'm just try to find a best-fit line to harmonize the data, and using a scientific approach to measure my success.