least-squares-regression

2020 9 14
1 个回答
更新时间：2020 9 14
7 次查看（30 天）

0 个投票

I need help understing what to do here,
I know i need to slobe for p1 and p2x but stuck, I have the code below but just stuck.
y(𝑥)=𝑝1+𝑝2𝑥
where
x = 0:0.1:20;
noise =?? % a number, to define
y= 4*x + noise*rand(1,length(x));
Vary the value for noise as 0, 50 and 100 to get three different results for 𝑝1and 𝑝2,
From a linear algebra standpoint, determine the coefficients, 𝑝1and 𝑝2, of the least-squares-regression of a line fit through the data defined above.
thank you

请先登录，再回答此问题。

回答（1 个）

KSSV
KSSV 2020-9-14

0 个投票

Read about polyfit. If you have the data x, y you can fit a line and get p1, p2 using polyfit.
p = polyfit(x,y,1) ;
p1 = p(1) ; p2 = p(2) ;

类别

在 帮助中心 和 File Exchange 中查找有关 Get Started with Curve Fitting Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by