486 Appendix A: Functions and Instructions
8992APPA.DOC TI-89 / TI-92 Plus: Appendix A (US English) Susan Gullord Revised: 02/23/01 1:48 PM Printed: 02/23/01 2:21 PM Page 486 of 132
The QR factorization is computed
numerically using Householder
transformations. The symbolic solution is
computed using Gram-Schmidt. The columns
in qMatName are the orthonormal basis
vectors that span the space defined by
matrix.
QR m1,qm,rm ¸Done
qm ¸
m
m2+o
2
ësign(møpìnøo)øo
m2+o
2
o
m2+o
2
møsign(møpìnøo)
m2+o
2
rm ¸
m2+o
2
møn+oøp
m2+o
2
0
|møpìnøo|
m2+o
2
QuadReg MATH/Statistics/Regressions menu
QuadReg list1, list2[, [list3] [, list4, list5]]
Calculates the quadratic polynomial
regression and updates the system statistics
variables.
All the lists must have equal dimensions
except for list5.
list1 represents xlist.
list2 represents ylist.
list3 represents frequency.
list4 represents category codes.
list5 represents category include list.
In function graphing mode:
{0,1,2,3,4,5,6,7}!L1 ¸
{1 2 3 ...}
{
4,3,
1
,
1
,2,2,3,3
}
!L2
¸
{4 3 1 ...}
Qua
d
Reg L
1
,L2
¸
Done
S
h
owStat
¸
Note: list1 through list4 must be a variable
name or c1–c99. (columns in the last data
variable shown in the Data/Matrix Editor).
list5 does not have to be a variable name and
cannot be c1–c99.
¸
Regeq(x)"y1(x) ¸Done
NewP
l
ot
1
,
1
,L
1
,L2
¸
Done
¥%