The position of a particle x(t) on an axis has been monitored. The results are shown in the following table.By the least squares method, fit the data to a quadratic model:Report the position predicted by the model for t = 10. Se ha monitoreado la posición de una partícula x(t) sobre un eje. Losresultados se muestran en la siguiente tabla.t0168x(t)5121414Por el método de mínimos cuadrados, ajuste los datos a un modelocuadrático:x (t) = a + bt + ct²Reporte la posición pronosticada por el modelo para t = 10

Given t x(t) 0 5 1 12 6 14 8 14

The position of a particle x(t) on an axis has been monitored. The results are shown in the following table. By the least squares method, fit the data to a quadratic model: Report the position predicted by the model for t = 10.

The position of a particle x(t) on an axis has been monitored. The results are shown in the following table. By the least squares method, fit the data to a quadratic model: Report the position predicted by the model for t = 10.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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