data_scale

data_scale是一个经过标准化处理的数据集。首先，使用scale函数将原始数据进行标准化处理，使得数据的均值为0，标准差为1。接着，使用lm函数构建线性回归模型，以Sepal.Width、Petal.Length和Petal.Width作为自变量，Sepal.Length作为因变量。最后，使用summary函数查看模型的统计摘要信息。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [[统计]_数据中心化和标准化对线性回归结果的影响](https://blog.csdn.net/weixin_39366714/article/details/126688472)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [python数据预处理技术](https://blog.csdn.net/yeserumo/article/details/114519486)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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