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matlab中线性拟合可以使来用多项自式拟合函数polyfit()实现bai，du其调用格式为P = polyfit(X,Y,N)
其中zhi，X，Y是需要拟合的数据，N是拟dao合的多项式的最高次数，P是拟合的多项式的系数。
实例演示如下：
1、示例数据
x=[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2]
y=[-8,-236,-415,-562,-701,-860,-961,-1082,-1188,-1304,-1405,-1534]
拟合方程：y=a+bx
2、matlab代码>> x=[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2];
>> y=[-8,-236,-415,-562,-701,-860,-961,-1082,-1188,-1304,-1405,-1534];
>> p = polyfit(x,y,1)
>> plot(x,y,'o',x,polyval(p,x))
3、结果及说明p =
1.0e+003 *
-1.3253 0.0068
表示拟合的线性公式为 ： y = -1325.3x+6.8