Ncr - Texas Instruments TI-Nspire Reference Manual

Output variable
2
stat.AdjR
stat.s
stat.DW
stat.dfReg
stat.SSReg
stat.MSReg
stat.dfError
stat.SSError
stat.MSError
stat.bList
stat.tList
stat.PList
stat.SEList
y
stat. List
stat.Resid
stat.sResid
stat.CookDist
stat.Leverage
N

nCr()

⇒
Value1 Value2
nCr( , )
For integer Value1 and Value2 with Value1
the number of combinations of Value1 things taken Value2 at a time.
(This is also known as a binomial coefficient.)
⇒
,
Value
)
nCr( 0 1
⇒
,
Value negInteger)
nCr(
⇒
,
Value posInteger)
nCr(
N
Value posInteger
( +1)/
⇒
,
Value nonInteger)
nCr(
Value N nonInteger
·nonInteger
(( )!
⇒
List1 List2 list
nCr( , )
Returns a list of combinations based on the corresponding element
pairs in the two lists. The arguments must be the same size list.
⇒
Matrix1 Matrix2
nCr( , )
Returns a matrix of combinations based on the corresponding
element pairs in the two matrices. The arguments must be the same
size matrix.
66 TI-Nspire™ Reference Guide
Description
Adjusted coefficient of multiple determination
Standard deviation of the error
Durbin-Watson statistic; used to determine whether first-order auto correlation is present in the model
Regression degrees of freedom
Regression sum of squares
Regression mean square
Error degrees of freedom
Error sum of squares
Error mean square
{b0,b1,...} List of coefficients
List of t statistics, one for each coefficient in the bList
List P-values for each t statistic
List of standard errors for coefficients in bList
y
List = b0+b1·x1+ . . .
Residuals from the regression
Standardized residuals; obtained by dividing a residual by its standard deviation
Cook's distance; measure of the influence of an observation based on the residual and leverage
Measure of how far the values of the independent variable are from their mean values
expression
| Value2 |
0
Value· Value N
( 1)...
posInteger
!
expression
!/
!)
matrix
0, nCr() is
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