matlab OLS代码

回答: 以下是使用MATLAB进行OLS（Ordinary Least Squares）回归分析的代码示例:

% 输入数据
x = [1, 2, 3, 4, 5]; % 自变量
y = [2, 3, 5, 6, 8]; % 因变量

% 构建设计矩阵
X = [ones(size(x')), x'];

% 计算OLS估计值
beta = (X' * X) \ X' * y';

% 打印结果
fprintf('已知参数\n\tbeta_0=%0.5g\n\tbeta_1=%0.5g\n', beta(1), beta(2));
fprintf('模拟后，OLS估计值为\n\tbeta_0=%0.5g\n\tbeta_1=%0.5g', beta(1), beta(2));

其中，`x`是自变量，`y`是因变量。代码首先构建了设计矩阵`X`，然后通过最小二乘法求解回归系数`beta`。最后，使用`sprintf`函数将已知参数和模拟后的OLS估计值打印出来。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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