Regression fundamentals (linear, non linear, simple, multiple)

I am trying to understand the fundamentals of Regression. I did a lot of reading, still things are not clear to me due to ambiguity in use of terms at every other material that I read.

The following is a quote obtained from wikipedia (Regression analysis - Wikipedia, the free encyclopedia)

**'In linear regression, the model specification is that the dependent variable, ***y**i*** is a linear combination of the ***parameters*** (but need not be linear in the ***independent variables***)"**

Could anyone elaborate with a real example what constitutes *"parameter", "dependent variable", "independent variable"* ?