Texas Instruments TINSPIRE Reference Guide - Page 71

MultRegIntervals 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 stat.y Regression Equation: b0+b1·x1+b2·x2+ ... y A point estimate: = 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 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. Outputs Output variable stat.RegEqn stat.F stat.PVal stat.R2 Description Regression Equation: b0+b1·x1+b2·x2+ ... Global F test statistic P-value associated with global F statistic Coefficient of multiple determination Catalog > Catalog > TI-Nspire™ Reference Guide 65