Building a model based on sample [closed]

So I have a several samples of data, and I have to come of with some model, that is described by this data. Is there any general approach to this problem?

$$\begin{array}{lll} 0.433873 & 0.807833 & 0.86123 \\ 0.63958 & 0.921696 & 0.293362 \\ 0.38682 & 0.072228 & 0.821793 \\ 0.443635 & 0.700864 & 0.535931 \\ 0.234304 & 0.768734 & 0.632496 \\ 0.357 & 0.464016 & 0.306294 \\ \end{array}$$

Say, I have something like this. How can I transform this into "model"?

Just to clarify. I am given only numbers and asked no to build a model upon them. I have no additional information. This is the question: I have no idea about the domain or variables, but I need a model. What do I do?

Didier Piau, so how do I apply statistics to derive the model?

-

closed as off topic by Zhen Lin, Rudy the Reindeer, Srivatsan, Ｊ. Ｍ., t.b.Dec 27 '11 at 10:22

Questions on Mathematics Stack Exchange are expected to relate to math within the scope defined by the community. Consider editing the question or leaving comments for improvement if you believe the question can be reworded to fit within the scope. Read more about reopening questions here.If this question can be reworded to fit the rules in the help center, please edit the question.

all these numbers don't make any sense unless you provide the dependent and independent variables along with some domain information regarding the data. –  Nikhil Bellarykar Dec 26 '11 at 8:37