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Replicated runs for accounting the variance

Hi ,

I had a custom design with 6 runs for having a model to predict the effect of temp and speed on performance . I had 5 samples each from each run. But after having the results I understood that there is lot of variance within the performance of each sample. Iwant to account include this variance in my model. I replicated each run 5 times and made a design of 30 runs. So I treated each samples performance as one run. So i believe this design would help to account for the variance within the runs.

Is this a right method? Can someone suggest alternative methods to account for those variance within the predictive model?

Thanks

Jerry

Design of Experiments

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