I'm currently doing a third year university stats course. I need help with some questions.

The question gives

**Wind speed**and

**Temperature**data. It then asks to do linear regression to determine the relationship between them, which I've done. (explanatory variable is Wind speed)

It then asks to simulate Wind speed values according to a given distribution (which I've done) but then to use correlated simulation to predict the resultant temperatures.

After some google searches I used an the equation:

**Temperature=c*Simulated Wind speed +sqrt(1-C squared)* given Wind Speed**

where c is the correlation coeff.

but i also used another method, just using the regression equation:

**Temp=-0.29Wind +35**

I'm not sure which is right (if they are) or any other way to approach it.

Any help would be appreciated

Thanks