A regression equation with a zillion dummy variables in it is hard to read and has little generalizable business value. For example, instead of having a factor “city” with many different levels/values ...

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

10.1 Kitchen sink model. We can extend the lm(y~x) function to construct a more complicated “formula” for the multi-dimensional model: lm(y ~ x1 + x2 + ... + xn ).This tells R to find the best model ...