Timeline for Multiple Regression, good P-value, but Low R2
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Sep 22, 2018 at 17:26 | comment | added | towi_parallelism | I did so. the correlations are also clear from a correlation map. If you look at the last questions, it is looking for a sort of objective segmentation. Your link is useful though. thanks for sharing. | |
| Sep 22, 2018 at 12:36 | comment | added | sakell | My background isn't in digital marketing however I arrived at the conclusion of incorporating clicks and the amount of spending as when I visualized the data there was a very clear positive relationship between spending/clicks and total conversion. If you haven't done so already I would visualize the data (a good tool is ggplot2) and you may come across some new relationships you maybe haven't seen before. Check ourcodingclub.github.io/2017/02/28/modelling.html for more info on linear models in R | |
| Sep 22, 2018 at 12:16 | comment | added | towi_parallelism | Thanks for the effort. If you include Clicks and Impressions, etc. how useful would that be? You cannot suggest to the team that they focus on campaigns with specific Impressions. We need to create a model based on the age, gender, interest (and possibly campaign id). How would your model help the marketing team? Also, the question is asking to model and predict conversion rate (I assume approved/clicks), while you have predicted the conversion (or total_conversion) | |
| Sep 22, 2018 at 12:15 | review | First posts | |||
| Sep 22, 2018 at 13:55 | |||||
| Sep 22, 2018 at 12:10 | history | answered | sakell | CC BY-SA 4.0 |