I have a data frame with 10 columns(features)
COL0 to COL9 and a column
RESP. How do I calculate a LinearRegression Model for each pair COL0 to COL9 ~ RESP?
I am expecting to get 10 graphs showing the Model and also a table with the coefficients of my model for each column.
What I tried do far:
x = df.Col0 y = df.RESP data = DataFrame(X=x,Y=y) model = lm(@formula(Y~X),data)
And I get what i want for this first pair COl0 ~Resp. But still i need to plot it.
Now i need to do the same steps more 9 times. I want to optimize this as i can have over 100 columns.
I am new to Julia and I really dont have a clue how to get this done. Any help?