You can do a bilinear interpolation. That is not provided for directly in Mathcad, but is easy to program. You just need to do a search on the two coordinate vectors to identify the rectangle containing the desired point. If t and s are the fractional distances (between zero and one) from the low X and Y values the weights are just the four combinations of t, s, 1-t, and 1-s.
You can also do a cubic spline interpolation. That is usually more accurate, but also a bit riskier. You need to check the iterpolation to be sure you have not introduced undesired wiggles into the surface. Sometimes you need to transform the coordinates first, to get a better spacing. Mathcad has built in 2D cubic spline for a square data matrix, I have a more general implementation in my cubic spline sheet.
But you still have the issue that 7° is outside the table and calls for extrapolation, not interpolation. And an extrapolation that is large enough to make it very questionable. And I still don't understand θ, based on the diagram and the presented values.
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� � � � Tom Gutman