small update

2018-05-13 22:34:10 -04:00
parent 0c4b67c737
commit 5be0723b93
1 changed files with 2 additions and 1 deletions
@@ -269,7 +269,8 @@ meaning that the solution for $\hat{\beta}$ is the one which minimizes the resid

 !split
 ===== Simple regression model =====
-Add info about the equations
+We are now ready to write our first program which aims at solving the above linear regression equations. We start with data we have produced ourselves, in this case normally distributed random numbers along the $x$-axis. These numbers define then the value of a function $y(x)=4+3x+N(0,1)$. Thereafter we order the $x$ values and employ 
+
 !bc pycod
 # Importing various packages
 from random import random, seed