第一种方法，可以使用数值搜索过程设定不同的m和b值并对它们求值，最终决定产生最小方差的估计值。

First, you can use a numerical search procedure to propose and evaluate different values of m and b, ultimately settling on estimates producing the least squared error.

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使用最小方差法来确定最吻合的直线涉及寻找使预测方差最小的 m和 b的估计值。

Using a least-squared-error criterion to determine the line of best fit involves finding estimates of m and b that minimize the squared error of prediction.

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可以用两种基本方法来找到满足最小方差法的估计值m和b。

The estimators, m and b, that satisfy the least-squared-error criterion can be found in two basic ways.

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