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My dataset is actually about 4.6 million rows of data. Recording these data points actually turned out to not be an accurate way to solve my ultimate problem. Because after digging deeper I found I had even more variables. Instead, I decided to go the physics route. It was complex physics...

I understand this. So I need an equation that "best fits" my data within some small margin of error. I'm not expecting it to be perfect.

How do I apply multivariate regression to my dataset to formulate an equation Say I have the following arbitrary dataset. I want to create an equation that solves for 'b' x y z a b 5 1.2 20 13 5.6 6.2 1.6 16 15 4.5 6 1.3 18 12 4.9 5.8 1.7 21 12 6.3 How do I go about doing this...

I have the following data points (for example) x, y, z, a, b Lets say those are each a column in a database (or Excel) and I have 1000 rows of data (so 5000 total values). I need to create an equation that solves for "b". How do I go about doing this? Excel will do it based on a collection of...