35 40
-15 15.0 15.1
- 10 17.2 17.4
-5 19.7 19.8
I need to find the value in (-16, 37). I have tried linear interpolation, but I can only use (x, y) a few values To solve it. Can you help me?
Thank you very much,
Andrea
z=A*x+B*y+C
Then use least squares and 6 points (-15,35,15.0) Solve for A, B, C,…
Excel may be able to find the best value for you.
Edit
Here, I insert Take your data (green cells) and use the solver tool to build the best linear model z = Ax By C. (x is 35,40, y is -15,-10,-5). A,B,C Is the blue cell on the left. Then the pink cell is Axe C, the red cell is (date model)^ 2. The error is the sum of all these 6 red blood cells.
Then use the Solver tool (Need to be activated from the Excel option). Define the error unit as the target (minimize), and define A, B, C as variable units. It will find the best A, B, C values.
Then apply these values to your request (x = 37 and y = -16), and get the result 14.5.
I have this source data:
35 40
-15 15.0 15.1
-10 17.2 17.4
-5 19.7 19.8
I need to find (-16, 37). I have tried linear interpolation, but I can only use (x, y) to solve the problem. Can you help me?
Thank you very much,
Andrea
You can try to fit the plane to the data:
p>
z=A*x+B*y+C
Then use least squares and 6 points (-15, 35, 15.0) to solve A, B ,C,…
Excel may be able to find the best value for you.
Edit
Here, I inserted your data (green cells) and used The solver tool builds the best linear model z = Ax By C. (x is 35, 40, y is -15, -10, -5). A, B, C are the blue cells on the left. Then pink The cell is Axe C, the red cell is (date model) ^ 2. The error is the sum of all these 6 red blood cells.
Then use the Solver tool (requires activation from the Excel option). Define the error cell For the goal (minimization), define A, B, C as variable units. It will find the best A, B, C values.
Then apply these values to your request (x = 37 and y = -16), get the result 14.5.