Mrowadd; Multreg; Multregintervals - Texas Instruments TI-NSPIRE Reference Manual

mRowAdd()

Value Matrix1
mRowAdd( ,
Returns a copy of Matrix1 with each element in row Index2 of
Matrix1 replaced with:
·
Value row Index1 + row Index2

MultReg

Y X1 X2 X10
MultReg , , , ...,
Calculates multiple linear regression of list Y on lists X1, X2,
A summary of results is stored in the stat.results variable. (See page
76.)
Output variable
stat.RegEqn
stat.b0, stat.b1, ...
2
stat.R
y
stat. List
stat.Resid

MultRegIntervals

Y X1
MultRegIntervals ,
Computes multiple regression prediction confidence interval for the
y
calculated and a confidence for
in the stat.results variable. (See page 76.)
Output variable
stat.RegEqn
y
stat.
stat.dfError
stat.CLower, stat.CUpper
stat.ME
stat.se
stat.LowerPred,
stat.UpperrPred
stat.MEPred
stat.SEPred
50
⇒
Index1 Index2 matrix
, , )
Description
Regression Equation: b0+b1
Coefficients of the regression equation
Coefficient of multiple determination.
y
·
List = b0+b1 x1+ ...
y
Residuals: Resid=y - list
X2 X10 XValList CLevel
, [,...[, ]], [,
y
. A summary of results is stored
Description
Regression Equation: b0+b1
y
A point estimate: = b0 + b1
Error degrees of freedom.
The confidence interval for a mean
Confidence interval margin of error.
Standard error for confidence interval.
y
Prediction interval for .
Interval margin of error that you can predict.
Standard error for an interval that you can predict.
, X10.
...
· ·
x1+b2 x2+ ...
]
· ·
x1+b2 x2+ ...
·
xl + ... for XValList
y
.
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