Applied Numerical Methods with Matlab for Engineers and Scientists by Chapra Steven;
Author:Chapra, Steven;
Language: eng
Format: epub
Publisher: McGraw-Hill US Higher Ed ISE
page 362
14
Linear Regression
Chapter Objectives
The primary objective of this chapter is to introduce you to how least-squares regression can be used to fit a straight line to measured data. Specific objectives and topics covered are
⢠Familiarizing yourself with some basic descriptive statistics and the normal distribution.
⢠Knowing how to compute the slope and intercept of a best-fit straight line with linear regression.
⢠Knowing how to generate random numbers with MATLAB and how they can be employed for Monte Carlo simulations.
⢠Knowing how to compute and understand the meaning of the coefficient of determination and the standard error of the estimate.
⢠Understanding how to use transformations to linearize nonlinear equations so that they can be fit with linear regression.
⢠Knowing how to implement linear regression with MATLAB.
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