Beyond linear regression with pymc

My strong suggestion is to generate (simulate) some data. If you can do that, it would be much easier to figure out how to put together a model. In your original post you generated data (x0, x1, and x2), but the values you generated were not related to C, dp, or F. Can you simulate values for x0, x1, and x2 in a way that utilizes C, dp, or F?

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