Quick Reference Guide

66 TI-Nspire™ Reference Guide
N
stat.AdjR
2
Adjusted coefficient of multiple determination
stat.s Standard deviation of the error
stat.DW Durbin-Watson statistic; used to determine whether first-order auto correlation is present in the model
stat.dfReg Regression degrees of freedom
stat.SSReg Regression sum of squares
stat.MSReg Regression mean square
stat.dfError Error degrees of freedom
stat.SSError Error sum of squares
stat.MSError Error mean square
stat.bList {b0,b1,...} List of coefficients
stat.tList List of t statistics, one for each coefficient in the bList
stat.PList List P-values for each t statistic
stat.SEList List of standard errors for coefficients in bList
stat.yList yList = b0+b1·x1+...
stat.Resid Residuals from the regression
stat.sResid Standardized residuals; obtained by dividing a residual by its standard deviation
stat.CookDist Cook’s distance; measure of the influence of an observation based on the residual and leverage
stat.Leverage Measure of how far the values of the independent variable are from their mean values
nCr()
Catalog
>
nCr(Va l ue 1 , Val u e2 ) ⇒ expression
For integer Va lu e 1 and Va l ue 2 with Va l ue 1 | Val ue 2 | 0, nCr() is
the number of combinations of Va lu e1 things taken Va l ue 2 at a time.
(This is also known as a binomial coefficient.)
nCr(Va l u e , 0) ⇒ 1
nCr(
Va l u e , negInteger) ⇒ 0
nCr(
Va l u e , posInteger) ⇒ Va lu e ·(Val ue N1)...
(
Va lu eNposInteger+1)/ posInteger!
nCr(
Va l u e , nonInteger) ⇒ expression!/
((
Va lu eNnonInteger)!·nonInteger!)
nCr(
List1, List2) ⇒ list
Returns a list of combinations based on the corresponding element
pairs in the two lists. The arguments must be the same size list.
nCr(Matrix1, Matrix2) ⇒ matrix
Returns a matrix of combinations based on the corresponding
element pairs in the two matrices. The arguments must be the same
size matrix.
Output variable Description