In excel, I have used a second-order polynomial forecast which is fit to intercept the Y axis at 10,000. Excel reports an R^2 of 0.25 for this relationship. I'm trying to replicate this in SAS in order to observe significance levels/standard errors with the following model: proc reg data=data2; model revenue=xr xr2 /white spec; restrict intercept=10000; run; This model outputs parameter intercepts identical to Excel's. Unfortunately, the R^2 is insane at 0.9963. SAS results report: "Restrictions on intercept. R-Square is redefined". How should I be interpreting the R^2 then? Also, is there any way to output a graphical output which exhibits the confidence bands off the base of the data? Thanks
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