I am doing a regression analysis with 70 countries. My dependent variable is 'Inequality' and my independent variable is 'Sanction'. My original columns look as
I tried to make a linear regression with the lm function, but the output is NA for every independent variable. The dataframe is numeric. I have already tried t
I know there is a small difference between $sigma and the concept of root mean squared error. So, i am wondering what is the easiest way to obtain RMSE out of l
I'm trying to extract model coefficients from R into a data frame that I can then combine into one large dataset with some other model results from Stata. Using
Instead of something like lm(bp~height+age, data=mydata) I would like to specify the columns by number, not name. I tried lm(mydata[[1]]~mydata[[2]]+mydata[[3]