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TI-Nspire™ Reference Guide 65
Outputs
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
97.)
All the lists must have equal dimension.
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
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 margin of error
stat.SE Standard error of mean response
stat.LowerPred,
stat.UpperrPred
Prediction interval for a single observation
stat.MEPred Prediction interval margin of error
stat.SEPred Standard error for prediction
stat.bList List of regression coefficients, {b0,b1,b2,...}
stat.Resid Residuals from the regression
MultRegTests
Catalog
>
MultRegTests Y, X1[,X2[,X3,…[,X10]]]
Multiple linear regression test computes a multiple linear regression
on the given data and provides the global F test statistic and t test
statistics for the coefficients.
A summary of results is stored in the stat.results variable. (See page
97.)
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable Description
stat.RegEqn Regression Equation: b0+b1·x1+b2·x2+ ...
stat.F Global F test statistic
stat.PVal P-value associated with global F statistic
stat.R
2
Coefficient of multiple determination