Any help would be GREATLY appreciated. Thanks.

- Thread starter Forty6ixAnd2
- Start date

Any help would be GREATLY appreciated. Thanks.

Perhaps my original question was too convoluted. What I am essentially trying to do is determine the relative power each variable has so I can assign weights to each variable. The weights are currently assigned by gut instinct and I think there must be a better way.

I simulated this with test data and I am hoping someone out there can tell me if this theory holds water ... 2 variables with the same average value across a set of data, 1 variable has a high standard deviation, the other has a much lower standard deviation--my theory is that a variable with a lower SD will influence the dependent variable less, overall, and is therefore weaker in terms of influencing the final outcome. What I did was take the SD of 5 fictitious variables divided by the average of each of the variables. I then divided these values by the TOTAL (which adds up to 100%) to weight them.

I'd be very appreciative if someone could comment on this. Thanks!

I simulated this with test data and I am hoping someone out there can tell me if this theory holds water ... 2 variables with the same average value across a set of data, 1 variable has a high standard deviation, the other has a much lower standard deviation--my theory is that a variable with a lower SD will influence the dependent variable less, overall, and is therefore weaker in terms of influencing the final outcome. What I did was take the SD of 5 fictitious variables divided by the average of each of the variables. I then divided these values by the TOTAL (which adds up to 100%) to weight them.

HTH.