java线性回归，标准误差问题

Question

好的，我有一个双倍的列表，我首先想用它作为回归的数据，然后将观察值与各自的估计值（标准误差）进行比较

但是，当我使用SimpleRegression时，它只记录了两个参数（我猜第一个和最后一个），所以当我尝试检查标准错误时，我会得到一个OutOfRange异常

我做错了什么？我是不是应该使用简单回归之外的东西？似乎很奇怪，它没有将每一（x，y）对估计值存储在回归结果变量中

这是我的密码

//Linear Least Squares method
    SimpleRegression regression = new SimpleRegression();

    for (int i = 0; i < list.size(); i++) {
        regression.addData(i, list.get(i));
    }
    //I want to see how much a certain max differs from its estimate value.
    int indexOfTop = list.indexOf(secondTop);
    RegressionResults results = regression.regress();

    //How much this calculated top differ from the regression line

    double errorOfEstimate = 0;
    try {
        System.out
                .println("Parameters: " + results.getNumberOfParameters());
        errorOfEstimate = results.getStdErrorOfEstimate(indexOfTop);
    } catch (OutOfRangeException e) {
        System.out.println(e);
    }

Answer 1

But, when I use SimpleRegression it just records 2 parameters (I'm guessing the first and the last), so when I try to check for the standard error I get a OutOfRangeException.

如果想查看添加了多少样本，只需估计两个参数，简单回归的X和Y检查getN()方法http://commons.apache.org/proper/commons-math/apidocs/org/apache/commons/math3/stat/regression/RegressionResults.html#getN()

What am I doing wrong? Should I be using something else than SimpleRegression? It seems strange that it doesn't store every (x,y) pair of estimates in the RegressionResults variable.

我想你想得到预测，并与你的观察结果进行比较，这里解释了一些事情http://commons.apache.org/proper/commons-math/userguide/stat.html#a1.4_Simple_regression