Hi 
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
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