MATLAB 多元线性回归（regress）

MATLAB 多元线性回归（regress）

语法

b = regress(y,X)
[b,bint] = regress(y,X)
[b,bint,r] = regress(y,X)
[b,bint,r,rint] = regress(y,X)
[b,bint,r,rint,stats] = regress(y,X)
[___] = regress(y,X,alpha)

说明

b = regress(y,X) returns a vector b of coefficient estimates for a multiple linear regression of the responses in vector y on the predictors in matrix X. To compute coefficient estimates for a model with a constant term (intercept), include a column of ones in the matrix X.
b=回归（y，X）返回一个系数估计向量b，用于矩阵X中预测器上向量y中的响应的多元线性回归。若要计算具有常数项（截距）的模型的系数估计，请在矩阵X中包含一列。

[b,bint] = regress(y,X) also returns a matrix bint of 95% confidence intervals for the coefficient estimates.
[b，bint]=回归（y，X）也返回系数估计的95%置信区间的矩阵bint。

[b,bint,r] = regress(y,X) also returns an additional vector r of residuals.
[b，bint，r]=回归（y，X）还返回一个残差向量r。

[b,bint,r,rint] = regress(y,X) also returns a matrix rint of intervals that can be used to diagnose outliers.
[b，bint，r，rint]=回归（y，X）还返回一个可用于诊断异常值的间隔矩阵。

[b,bint,r,rint,stats] = regress(y,X) also returns a vector stats that contains the R2 statistic, the F-statistic and its p-value, and an estimate of the error variance. The matrix X must include a column of ones for the software to compute the model statistics correctly.
[b，bint，r，rint，stats]=回归（y，X）还返回一个向量统计，其中包含R2统计量、F-统计量及其p值以及误差方差的估计。矩阵X必须包含一列，以便软件正确计算模型统计数据。

[___] = regress(y,X,alpha) uses a 100*(1-alpha)% confidence level to compute bint and rint. Specify any of the output argument combinations in the previous syntaxes.
[___]=回归（y，x，alpha）使用100*（1-alpha）%置信度来计算bint和rint。在前面的语法中指定任何输出参数组合。