然后用回归模型根据给定的这些自变量的值预测一个未知的因变量的结果。

The regression model is then used to predict the result of an unknown dependent variable, given the values of the independent variables.

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多个自变量综合在一起可以生成一个结果 — 一个因变量。

There are a number of independent variables, which, when taken together, produce a result — a dependent variable.

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这样x为自变量，z为因变量,这条曲线的斜率就是关于x的导数。

And when I change x, z changes, and the slope of that is going to be the derivative with respect to x.

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