计算置信区间值并相应地绘制曲线
我正在绘制 [x,y] 对数据。我正在使用最小二乘回归模型计算曲线的最佳拟合线并相应地预测 y 值。
我现在想要生成 95% 置信区间值并将其绘制出来。如果有人可以帮助我计算置信带 y 值的公式，那就太好了。在在这里发帖之前，我确实尝试过谷歌搜索。但是，大多数网站都假设我已经有了一些数据。如果您能引导我找到一些好的链接，这也会很有帮助。
预先感谢，S.
I have [x,y] pair of data that I am plotting. I am computing the best fit line for the curve using the least-square regression model and predicting the y-values accordingly.
I now want to generate the 95% confidence interval values and plot that as well. If someone could assist me with the formula for calculating the y-values for the confidence band, it will be great. I did try googling before posting here. But, most of the sites assumed, I had some data already. It will also be helpful, if you could direct me to some good links.
Thanks in advance, S.
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回归输出给出的统计数据应该包括一个“标准误差”，95％的置信区间是由你的回归产生的估计+ - 2个标准误差谷歌充满了这样的线性回归的例子，但它适用于更高的程度曲线也是如此。以下是此类网站的示例：
http://stattrek.com/ap- stats-4/estimate-slope.aspx
The statistics given from the regression output should include a "standard error" a 95% confidence interval is the estimate produced by your regression +- 2 of those standard errors google is full of such examples for linear regressions, but it works well for higher degree curves as well. Here is an example of such a site:
http://stattrek.com/ap-statistics-4/estimate-slope.aspx