Linregtintervals - Texas Instruments TI-NSPIRE Reference Manual

LinRegtIntervals

X Y Freq
LinRegtIntervals , [,
For Slope
X Y Freq
LinRegtIntervals , [,
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
2
stat.r
stat.r
stat.Resid
For Slope type only
Output variable
[stat.CLower,
stat.CUpper]
stat.ME
stat.SESlope
stat.s
For Predict type only
Output variable
[stat.CLower,
stat.CUpper]
stat.ME
stat.SE
[stat.LowerPred,
stat.UpperPred]
stat.MEPred
stat.SEPred
y
stat.
TI-Nspire™ Reference Guide
CLevel
[,0[, ]]]
Xval CLevel
[,1, [, ]]]
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
Description
Confidence interval on the slope containing CLevel of dist.
slope b confidence interval margin of error
2
SE Slope = s/sqrt(sum(x-bar) )
Fit error standard deviation for y - (a + b
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
·
x).
·
x)
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