You will also need to specify/ name your model: Mod <- lm(Crime~.........
~Nicole Ford Graduate Instructor Department of Government and International Affairs University of South Florida office: SOC 012M e: [email protected] http://gia.usf.edu/student/nford/ Sent from my iPhone On Feb 14, 2013, at 6:55 PM, email <[email protected]> wrote: > 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 > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
