WEBVTT 00:00:00.180 --> 00:00:01.940 【讲师】之前的视频里，我们介绍了 00:00:01.940 --> 00:00:04.720 如何使用回归线，特别是基于样本数据的回归线的斜率 00:00:04.720 --> 00:00:08.090 如何使用回归线，特别是基于样本数据的回归线的斜率 00:00:10.910 --> 00:00:15.700 我们如何利用它来推断真实总量回归线的斜率 00:00:15.700 --> 00:00:17.960 这个视频我们要讲的是 00:00:17.960 --> 00:00:20.260 使用回归线的推理条件是什么 00:00:20.260 --> 00:00:22.610 使用回归线的推理条件是什么 00:00:22.610 --> 00:00:24.900 在某种程度上 00:00:24.900 --> 00:00:27.280 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 00:00:27.280 --> 00:00:30.320 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 00:00:30.320 --> 00:00:33.920 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 00:00:33.920 --> 00:00:36.890 但也会有一些新的条件 00:00:36.890 --> 00:00:39.860 为了帮助我们记住这些条件 00:00:39.860 --> 00:00:44.860 就总结为 LINER，L-I-N-E-R 00:00:46.950 --> 00:00:50.500 好记对吧，和线性这个词 Linear 非常像 00:00:50.500 --> 00:00:53.040 给 Liner 加个a，就是线性了 linear 00:00:53.040 --> 00:00:54.670 这个小窍门很实用 00:00:54.670 --> 00:00:57.140 因为我们学的就是线性回归嘛 00:00:57.140 --> 00:01:01.240 其实这里的第一个 L 就是代表的线性(Linear) 00:01:01.240 --> 00:01:05.000 第一个条件就是要求 00:01:05.000 --> 00:01:08.620 总量中 x 和 y 两个变量之间是线性关系 00:01:08.620 --> 00:01:11.290 总量中 x 和 y 两个变量之间是线性关系 00:01:11.290 --> 00:01:12.710 写下来：x 和 y 之间是线性关系 00:01:13.690 --> 00:01:14.750 写下来：x 和 y 之间是线性关系 00:01:15.670 --> 00:01:16.853 写下来：x 和 y 之间是线性关系 00:01:18.360 --> 00:01:19.310 写下来：x 和 y 之间是线性关系 00:01:20.230 --> 00:01:21.690 写下来：x 和 y 之间是线性关系 00:01:21.690 --> 00:01:23.950 写下来：x 和 y 之间是线性关系 00:01:23.950 --> 00:01:25.910 写下来：x 和 y 之间是线性关系 00:01:25.910 --> 00:01:28.920 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 00:01:28.920 --> 00:01:31.270 00:01:31.270 --> 00:01:33.950 00:01:33.950 --> 00:01:36.400 00:01:36.400 --> 00:01:37.720 00:01:37.720 --> 00:01:38.600 00:01:38.600 --> 00:01:41.100 00:01:41.100 --> 00:01:42.810 00:01:42.810 --> 00:01:45.660 00:01:45.660 --> 00:01:47.250 00:01:47.250 --> 00:01:50.150 00:01:50.150 --> 00:01:53.290 00:01:53.290 --> 00:01:55.560 00:01:55.560 --> 00:01:57.530 00:01:57.530 --> 00:01:59.960 00:01:59.960 --> 00:02:01.980 00:02:01.980 --> 00:02:04.070 00:02:04.070 --> 00:02:05.830 00:02:05.830 --> 00:02:09.180 00:02:09.180 --> 00:02:11.910 00:02:11.910 --> 00:02:13.430 00:02:13.430 --> 00:02:18.200 00:02:18.200 --> 00:02:20.010 00:02:20.010 --> 00:02:23.710 00:02:23.710 --> 00:02:26.070 00:02:26.070 --> 00:02:28.140 00:02:28.140 --> 00:02:30.230 00:02:30.230 --> 00:02:32.610 00:02:32.610 --> 00:02:35.170 00:02:35.170 --> 00:02:37.580 00:02:37.580 --> 00:02:39.590 00:02:39.590 --> 00:02:42.160 00:02:42.160 --> 00:02:43.820 00:02:43.820 --> 00:02:44.880 00:02:44.880 --> 00:02:46.670 00:02:46.670 --> 00:02:48.410 00:02:48.410 --> 00:02:50.500 00:02:50.500 --> 00:02:54.810 00:02:54.810 --> 00:02:57.270 00:02:57.270 --> 00:03:00.033 00:03:00.870 --> 00:03:05.770 00:03:05.770 --> 00:03:06.603 00:03:06.603 --> 00:03:08.810 00:03:08.810 --> 00:03:10.910 00:03:10.910 --> 00:03:11.870 00:03:11.870 --> 00:03:13.990 00:03:13.990 --> 00:03:16.860 00:03:16.860 --> 00:03:21.300 00:03:21.300 --> 00:03:23.460 00:03:23.460 --> 00:03:24.530 00:03:24.530 --> 00:03:25.380 00:03:25.380 --> 00:03:27.760 00:03:27.760 --> 00:03:29.750 00:03:29.750 --> 00:03:32.470 00:03:32.470 --> 00:03:34.390 00:03:34.390 --> 00:03:36.970 00:03:36.970 --> 00:03:38.810 00:03:38.810 --> 00:03:42.790 00:03:42.790 --> 00:03:45.090 00:03:45.090 --> 00:03:46.390 00:03:46.390 --> 00:03:48.670 00:03:48.670 --> 00:03:51.250 00:03:51.250 --> 00:03:52.870 00:03:52.870 --> 00:03:54.520 00:03:54.520 --> 00:03:56.360 00:03:56.360 --> 00:03:59.880 00:03:59.880 --> 00:04:02.580 00:04:02.580 --> 00:04:03.620 00:04:03.620 --> 00:04:06.890 00:04:06.890 --> 00:04:10.430 00:04:10.430 --> 00:04:12.300 00:04:12.300 --> 00:04:14.600 00:04:14.600 --> 00:04:17.170 00:04:17.170 --> 00:04:19.200 00:04:19.200 --> 00:04:23.040 00:04:23.040 --> 00:04:25.760 00:04:25.760 --> 00:04:27.140 00:04:27.140 --> 00:04:28.270 00:04:28.270 --> 00:04:30.470 00:04:30.470 --> 00:04:32.960 00:04:32.960 --> 00:04:36.130 00:04:36.130 --> 00:04:38.720 00:04:38.720 --> 00:04:40.910 00:04:40.910 --> 00:04:42.970 00:04:42.970 --> 00:04:46.010 00:04:46.010 --> 00:04:47.040 00:04:47.040 --> 00:04:49.763