I have a recipe with 6 components (the amount of each component used gives rise to 6 independent variables). The resultant product of this recipe is evaluated with a single numerical value (1 dependent variable). I have prepared and evaluated this recipe 11 times. So I have 11 data sets, each comprising the 6 independent and 1 dependent variable.

I would like to try to pull out of this data, if any correlations exist between amounts of recipe components and the evaluation.

To use a cooking based example: I have 6 ingredients and rate the final taste on a scale of 1 -10. Perhaps the taste is only good (rated highly) when I used slightly more sugar, but ALSO less salt then the recipe called for.

Can anyone recommend ANY starting place for what type of analysis is appropriate for this situation? Any help would be greatly appreciated.

Cheers!