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Stephen Rauch
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If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: https://stats.idre.ucla.edu/r/dae/poisson-regression/

And I concur with the post by TBSRounder.

If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: https://stats.idre.ucla.edu/r/dae/poisson-regression/

And I concur with the post by TBSRounder.

If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: https://stats.idre.ucla.edu/r/dae/poisson-regression/

If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: http://www.ats.ucla.edu/stat/r/dae/poissonreg.htmhttps://stats.idre.ucla.edu/r/dae/poisson-regression/

And I concur with the post by TBSRounder.

If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: http://www.ats.ucla.edu/stat/r/dae/poissonreg.htm

And I concur with the post by TBSRounder.

If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: https://stats.idre.ucla.edu/r/dae/poisson-regression/

And I concur with the post by TBSRounder.

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Jon
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If your dependent variable is discrete, you should be using glm with a poisson model. You can use lm but you're obviously violating assumptions.

See example: http://www.ats.ucla.edu/stat/r/dae/poissonreg.htm

And I concur with the post by TBSRounder.