Hi, I am trying to do a simple multiple regression analysis that has one nominal variable (gender) and three numeric variables as independent variables and one numeric variable as dependent variable.
So, I got a formula like this: summary(out.3 <- lm(scale(DV) ~ gender + scale(IV.1) + scale(IV.2) + scale(IV.3)) I tried to compare the outcome in R with the outcome in SPSS and found the results are different! I found that R and SPSS have the exact same outcome when every variable is numeric; however, whenever I included "gender (0/1)" variable in the equation, the result become different. I guess that SPSS automatically treat gender as a numeric variable and standardize it when running analysis. So, I tried to change "gender" to a numeric variable and ran analysis but the results were still not identical. What is the problem here and what is the right way to do this analysis? Thanks, Jay Yang -- View this message in context: http://r.789695.n4.nabble.com/Different-result-of-multiple-regression-in-R-and-SPSS-tp3679423p3679423.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.
