Texas Instruments NS/CLM/1L1/B Reference Guide - Page 47

LinRegtIntervals LinRegtIntervals X,Y[,Freq[,0[,CLevel]]] For Slope LinRegtIntervals X,Y[,Freq[,1,Xval[,CLevel]]] For Response Computes the linear regression t interval for a line fit of the data point pairs, where y(k) = a + b·x(k). Two types of intervals are available: Slope and Response. A summary of results is stored in the stat.results variable. (See page 76.) Output variable stat.RegEqn stat.a,b stat.df stat.r2 stat.r stat.Resid Description Regression Equation: a+b·x. Regression line fit offset and slope parameter estimates. Degrees-of-freedom Coefficient of determination. Correlation coefficient for linear model. Residuals of the curves fit: y - (a+b·x). For Slope type only Output variable [stat.CLower, stat.CUpper] stat.ME stat.SESlope stat.s Description Confidence interval on the slope containing CLevel of dist. slope b confidence interval margin of error SE Slope = s/sqrt(sum(x-bar)2) Fit error standard deviation for y - (a + b·x) For Predict type only Output variable [stat.CLower, stat.CUpper] stat.ME stat.SE [stat.LowerPred, stat.UpperPred] stat.MEPred stat.SEPred y stat. Description Confidence interval on the prediction containing CLevel of dist. Confidence interval margin of error standard error for confidence interval Predictive interval on the prediction containing CLevel of dist. Predictive interval margin of error standard error for predictive interval a + b·XVal TI-Nspire™ Reference Guide Catalog > 41