2. Let consider given points: (1,1), (3,2), (4,3), (5,6). (a) Find the best least square fit by a linear function (linear regression). Compute the sum of square errors.

Trigonometry (MindTap Course List)
8th Edition
ISBN:9781305652224
Author:Charles P. McKeague, Mark D. Turner
Publisher:Charles P. McKeague, Mark D. Turner
Chapter4: Graphing And Inverse Functions
Section: Chapter Questions
Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...
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2. Let consider given points: (1,1), (3,2), (4,3), (5,6).
(a) Find the best least square fit by a linear function (linear regression). Compute the sum of square
errors.
(b) Find a polynomial of degree 3 that interpolates the points.
(c) Find the best least squares exponential fit y = piet. Compute the sum of square errors and
compare with result from (a).
Transcribed Image Text:2. Let consider given points: (1,1), (3,2), (4,3), (5,6). (a) Find the best least square fit by a linear function (linear regression). Compute the sum of square errors. (b) Find a polynomial of degree 3 that interpolates the points. (c) Find the best least squares exponential fit y = piet. Compute the sum of square errors and compare with result from (a).
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