In summary.lm(object, ...) : essentially perfect fit: summary may be unreliable

This warning message indicates that the linear model being analyzed has an almost perfect fit to the data, which means that the summary statistics may not be reliable. This can occur when the model is overfitting the data or when there are outliers or influential points that are affecting the model's performance. It is important to carefully evaluate the model and the data before drawing any conclusions.

相关问题

essentially perfect fit: summary may be unreliable什么意思

"Essentially perfect fit: summary may be unreliable" means that although the fit may be perfect, the summary provided may not be entirely trustworthy or accurate. It suggests that one should be cautious and verify the information provided in the summary before relying on it completely.

> for(i in 1:3) print(adfTest(rate,lag=i,type="c")) Title: Augmented Dickey-Fuller Test Test Results: PARAMETER: Lag Order: 1 STATISTIC: Dickey-Fuller: 1.7321 P VALUE: 0.99 Description: Wed May 10 22:16:45 2023 by user: gaofangsheng Title: Augmented Dickey-Fuller Test Test Results: PARAMETER: Lag Order: 2 STATISTIC: Dickey-Fuller: -1.7321 P VALUE: 0.413 Description: Wed May 10 22:16:45 2023 by user: gaofangsheng Title: Augmented Dickey-Fuller Test Test Results: PARAMETER: Lag Order: 3 STATISTIC: Dickey-Fuller: -1.7321 P VALUE: 0.413 Description: Wed May 10 22:16:45 2023 by user: gaofangsheng Warning messages: 1: In adfTest(rate, lag = i, type = "c") : p-value greater than printed p-value 2: In summary.lm(res) : essentially perfect fit: summary may be unreliable这段代码在干嘛

这段代码使用了R语言中的adfTest函数，进行了三次单位根检验，检验了一个名为“rate”的时间序列数据在不同滞后阶数下是否具有单位根。其中，第一次检验的滞后阶数为1，第二次为2，第三次为3。检验结果包括检验统计量和p值，以及当前时间和用户信息的描述。同时，还有两条警告信息，第一条警告信息表明p值大于已输出的p值，第二条警告信息表明回归模型拟合效果极好，可能导致摘要结果不可靠。