On 8/20/15 6:12 AM, Patrick Drury wrote:
> I have a requirement to be able to get the standard error for a predicted y
> value for a given x value. I believe that adding a generalisation of
> getInterceptStdErr() to SimpleRegression as detailed in the feature
> description of [MATH1260] would do the trick. Ad hoc experimentation with
> exposing xbar via reflection and performing this calculation seemed to
> produce good results. I am not a mathematician though, so would be keen to
> know if this the correct approach?
>
This looks like a good enhancement request. Thanks for opening the
ticket. The formula in the ticket is for standard error in mean
response (the mean value of y values for a given x). What you
probably want is standard error for predicted values, which requires
that you add 1 to the quantity under the radical. See, e.g, [1],
[2] for a description of the difference. Basically, the standard
error of the predicted value takes into account the variation in
yhat around its predicted mean.
Phil
[1]
http://www.stat.wisc.edu/courses/st572larget/Spring2007/handouts031.pdf
[2]
http://www.ncssm.edu/courses/math/Talks/PDFS/Standard%20Errors%20for%20Regression%20Equations.pdf

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