# 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?

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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