I have 5 columns of data. Column of lists_1, Total_1 which is a constant, column of lists_2 and Total_2 as a constant.
Like this:
Lists_1 Total_1 Lists_2 Total_2 Gender
[23, 11, 43, 53] 500 [99, 35, 1, 0] 5 0
[73, 111, 47, 13] 500 [72, 1,44,19] 5 0
[33, 19, 23, 86] 500 [87, 9, 0, 0] 5 1
I perform a formula: L = ((Lists_1 / Total_1) / (Lists_2 / Total_2))
This new calculated field will be attached to the Gender.
Now I will run a logistic regression on the calculated field L against Gender.
I have got 4 coefficients + intercept explaining Gender.
What transformation should I perform to go back and multiply the Lists_1, and Lists_2 members to explain Gender?
Please advise.