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96 Alphabetical Listing
Output variable Description
stat.RegEqn
Regression Equation: b0+b1•x1+b2•x2+ ...
stat.b0, stat.b1, ... Regression coefficients
stat.R
2
Coefficientof multiple determination
stat.yList yList= b0+b1•x1+ ...
stat.Resid Residuals from the regression
MultRegIntervals
Catalog >
MultRegIntervals Y, X1[, X2[, X3,…[,
X10]]], XValList[, CLevel]
Computes a predicted y-value, a level C
prediction interval for a single observation,
and a level C confidence interval for the
mean response.
A summary of results is stored in the
stat.results variable. (See page 145.)
All the lists must have equal dimension.
For information on the effect of empty
elements in a list, see “Empty (Void)
Elements,” page 196.
Output variable Description
stat.RegEqn
Regression Equation: b0+b1•x1+b2•x2+ ...
stat.y A point estimate: y = b0 + b1 • xl + ... for XValList
stat.dfError Error degrees of freedom
stat.CLower, stat.CUpper Confidence interval for a mean response
stat.ME Confidence interval marginof error
stat.SE Standard error of mean response
stat.LowerPred,
stat.UpperrPred
Prediction interval for a single observation
stat.MEPred Prediction interval marginof error
stat.SEPred Standard error for prediction
stat.bList Listof regression coefficients, {b0,b1,b2,...}
stat.Resid Residuals from the regression
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