Document Type
Conference Proceeding
Publication Date
5-31-2003
Abstract
Derivation of the least squares line for a set of bivariate data entails minimizing a function of two variables, say the line's slope and intercept. Imposing the requirement that the line pass through the mean point for the data reduces this problem to a 1-variable problem easily solved as a single-variable Calculus exercise. The solution to this problem is, in fact, the solution to the more general problem. We illustrate with a dataset involving charitable donations.
Recommended Citation
Constantine, Ken, "Linear Regression as a 1-Variable Optimization Exercise" (2003). ACMS Conference Proceedings 2003. 5.
https://pillars.taylor.edu/acms-2003/5
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