Hello:

I have a 4-column dataset: Crime, Education, Urbanization, Age. I want to
construct a multiple linear regression to find the effect of Education,
Urbanization, and Age on Crime"

lm(Crime ~ Education + Urbanization + Age)

If I use + in above statement, does it mean it will build a model to find
the relationship between Crime and Education when Urbanization and Age are
held constant?

What would be the difference if I drop the term Urbanization + Age ?

lm(Crime ~ Education)

Regards:
John

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