How to run a mult. Linear regression in R, after importing the data.


*I imported the data from excel no problem.
*In the data set, one column is a list of names, and then there is 1 dependent variable, and 4 independent variables.
*My first and simple task is to rename the data set, then set up the regression equation through R.
*Every time I rename the data set, or do anything with it for that matter, i look to the left, in the envrionment section, and every time it automatically reduces the number of variables I have to 2-- theres a total of 5! This thus does not allow me to name my 4 indepen. variables and move forward with the simple task of mult. lin. regression, because it thinks there is only two variables-- why is it doing this? that doesnt even make sense.

  • i make sure to say "skip" on the column that has just names. What am I missing?


Can you provide a reprex?

I don't there should be any problem. I just read a .xlsx file using readxl and renamed the columns using colnames without any problem.



here is the error code:

Error in contrasts<-(*tmp*, value = contr.funs[1 + isOF[nn]]) :
contrasts can be applied

only to factors with 2 or more levels

i provided an image of the data set

im just suppose to lin. reg. this,

I know its an error on my part I just dont know what to do


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