Texas Instruments NS/CLM/1L1/B Reference Guide - Page 56

mRowAdd, Catalog &gt, MultReg, Output variable, Description, MultRegIntervals

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mRowAdd() mRowAdd(Value, Matrix1, Index1, Index2) ⇒ matrix Returns a copy of Matrix1 with each element in row Index2 of Matrix1 replaced with: Value · row Index1 + row Index2 MultReg MultReg Y, X1, X2, ..., X10 Calculates multiple linear regression of list Y on lists X1, X2, ..., X10. A summary of results is stored in the stat.results variable. (See page 76.) Output variable stat.RegEqn stat.b0, stat.b1, ... stat.R2 y stat. List stat.Resid Description Regression Equation: b0+b1·x1+b2·x2+ ... Coefficients of the regression equation Coefficient of multiple determination. yList = b0+b1·x1+ ... y Residuals: Resid=y - list MultRegIntervals MultRegIntervals Y,X1,X2[,...[,X10]],XValList[,CLevel] Computes multiple regression prediction confidence interval for the y calculated and a confidence for y. A summary of results is stored in the stat.results variable. (See page 76.) Output variable stat.RegEqn y stat. Description Regression Equation: b0+b1·x1+b2·x2+ ... y A point estimate: = b0 + b1 · xl + ... for XValList stat.dfError stat.CLower, stat.CUpper Error degrees of freedom. y The confidence interval for a mean . stat.ME stat.se stat.LowerPred, stat.UpperrPred stat.MEPred stat.SEPred 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. Catalog > Catalog > Catalog > 50 TI-Nspire™ Reference Guide

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50
TI-Nspire™ Reference Guide
mRowAdd()
Catalog >
mRowAdd(
Value
,
Matrix1
,
Index1
,
Index2
)
⇒
matrix
Returns a copy of
Matrix1
with each element in row
Index2
of
Matrix1
replaced with:
Value
·
row
Index1
+ row
Index2
MultReg
Catalog >
MultReg
Y
,
X1
,
X2
, …,
X10
Calculates multiple linear regression of list
Y
on lists
X1
,
X2
,
…
,
X10
.
A summary of results is stored in the
stat.results
variable. (See page
76.)
Output variable
Description
stat.RegEqn
Regression Equation: b0+b1
·
x1+b2
·
x2+ ...
stat.b0, stat.b1, ...
Coefficients of the regression equation
stat.R
2
Coefficient of multiple determination.
stat.
y
List
y
List = b0+b1
·
x1+ ...
stat.Resid
Residuals: Resid=y -
y
list
MultRegIntervals
Catalog >
MultRegIntervals
Y
,
X1
,
X2
[
,
…[
,
X10
]]
,
XValList
[
,
CLevel
]
Computes multiple regression prediction confidence interval for the
calculated
y
and a confidence for
y
. A summary of results is stored
in the
stat.results
variable. (See page 76.)
Output variable
Description
stat.RegEqn
Regression Equation: b0+b1
·
x1+b2
·
x2+ ...
stat.
y
A point estimate:
y
= b0 + b1
·
xl + ... for
XValList
stat.dfError
Error degrees of freedom.
stat.CLower, stat.CUpper
The confidence interval for a mean
y
.
stat.ME
Confidence interval margin of error.
stat.se
Standard error for confidence interval.
stat.LowerPred,
stat.UpperrPred
Prediction interval for
y
.
stat.MEPred
Interval margin of error that you can predict.
stat.SEPred
Standard error for an interval that you can predict.