Which statistical method can be used to find the relationships between independent and dependent variables instead of regression? And their advantages over regression. It should be mentioned I am not able to do regression due to less number of observations that I have 5 independent variables 3 categorical and two continuous.
In that case, the best approach is to do a linear model with the 5 variables. If you know R, you put them in a
data.frame that you call
data, the "independent" variable in the first column and the other ones after, the individual observation in each line and you do:
To me that's the best use you can make of your precious data points. If you have too few, no statistical method will save you.