# How to know which variables are more important in a process? [closed]

I have a process with 15 effective variables. I could record 9 variables to study its effect on process.
I am looking for an appropriate factor to estimate the value of effectiveness of each factor. I believe p-values, standardized coefficients, partial correlation and partial $R^2$ are the potential solutions in this regard.

Which one is more useful in informing the degree of effectiveness of each variable on scale of 0 to 100?

-
Could you say a little more about the details of your context? Is it time series data? are the predictor variables experimentally manipulated or just observed? What is the aim of your analysis: control, prediction, something else? – Jeromy Anglim Oct 24 '11 at 0:17

## closed as not a real question by whuber♦Dec 23 '11 at 3:32

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, see the FAQ.