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I am working on a data analysis project. In this project we have to examine whichever topic we want and construct a regression model related with that topic, it can be either cross-sectional or time series or macro panel data , I want to do something related with cross-sectional study. I have sample in my hand which contains the data of how important doing daily exercise for the people aged from 16 to 59 (they scored it from 1(lowest) to 5(highest)). I also have the data that shows the music genre preferences (8 different genres) of these people. What I want to do is that I am going to choose explanatory variables as music genres and dependent variable as people who scored doing daily exercises as 4 and 5 (two of the highest scores). And then by putting age dummy, I would like to analyse the music genre preferences of two different age groups (16-37 and 37-59) who find doing daily exercises very important in their life.

Firstly, can I construct such a regression? I mean, does it sound meaningful?

Secondly, I don’t want to analyse how music genres affect their daily exercise performance (as my data does not really show that), I just want to analyse the fact that the relationship between the people scored doing daily exercise the highest and their music preference and how this preference changes with the age difference.

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  • $\begingroup$ Do you have several variables for music genre preferences? $\endgroup$ – T.E.G. Dec 25 '16 at 15:48

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