Least Squares in Another Dimension A chemist wishes to estimate the yield Y in a certain process that depends on the temperature T and the pressure P. A linear model for the process is assumed:
where a, b1, and b2 are unknown parameters. Assume that the observations are as follows.
Y | T | P |
Y1 | T1 | P1 |
Y2 | T2 | P2 |
⋮ | ⋮ | ⋮ |
Yn | Tn | Pn |
Derive equations for the coefficients of the least squares plane, generalizing the technique of the section for the least squares line.
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