Logistic regression - How to?

[Federica_FF]

Hi guys,

I'm trying to learn how to perform correctly a logistic regression.

Let's say I have a datasource1 with old data with 5 fields.

Field A is my target variable (yes/no)

Field B and C are qualitative

Field D and E are numeric, quantitative

And I also have a datasource2 with fresh data I want to use to score my prediction.

What's the best approach?

1) Should I only use the Regression Tool using all my fields as predictor variable and see which fields are significant? (Number of *** in the regression report?).

2) Or should I perform an association analysis, decide what fields are significant (table of contigency for qualitative fields and pearson/spearman correlation for the quantitative ones) and then only input the significant fields in the regression tool as predictive variables?

[CristonS]

@davidhenington - if you go to the Predictive District of the Gallery, you can find it there.

[davidhenington]

thanks Criston! 

[eliotgoldfarb]

@Bridget T page not found? 

[DanM]

@eliotgoldfarb

You should be able to find the starter kits on the Alteryx Public Gallery in the Predictive District. - https://gallery.alteryx.com/#!districts/56327e37aa690a17f0760bdc

Regards,

DanM