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【讲师】之前的视频里，我们介绍了

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如何使用回归线，特别是基于样本数据的回归线的斜率

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如何使用回归线，特别是基于样本数据的回归线的斜率

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我们如何利用它来推断真实总量回归线的斜率

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这个视频我们要讲的是

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使用回归线的推理条件是什么

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使用回归线的推理条件是什么

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在某种程度上

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和我们在做假设检验、均值和比例的置信区间 时考虑的的推理条件类似

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和我们在做假设检验、均值和比例的置信区间 时考虑的的推理条件类似

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和我们在做假设检验、均值和比例的置信区间 时考虑的的推理条件类似

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但也会有一些新的条件

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为了帮助我们记住这些条件

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就总结为 LINER，L-I-N-E-R

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好记对吧，和线性这个词 Linear 非常像

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给 Liner 加个a，就是线性了 linear

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这个小窍门很实用

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因为我们学的就是线性回归嘛

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其实这里的第一个 L 就是代表的线性(Linear)

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第一个条件就是要求

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总量中 x 和 y 两个变量之间是线性关系

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总量中 x 和 y 两个变量之间是线性关系

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写下来：x 和 y 之间是线性关系

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写下来：x 和 y 之间是线性关系

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写下来：x 和 y 之间是线性关系

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写下来：x 和 y 之间是线性关系

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写下来：x 和 y 之间是线性关系

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写下来：x 和 y 之间是线性关系

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写下来：x 和 y 之间是线性关系

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现在，在很多情况下，你可能只需要假设这是你在考试中看到的情况，比如AP考试

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