Problem Statement

Given a set of data vectors in the following format: Compute the vector

β

{

β

1

,

β

2

, . . . ,

β

k

}

{\displaystyle \beta ={\beta _{1},\beta _{2},...,\beta _{k}}}

using ordinary least squares regression using the following equation: You can assume y is given to you as a vector (a one-dimensional array), and X is given to you as a two-dimensional array (i.e. matrix).

Let's start with the solution: