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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
m
2
+o
2
ë
sign(m
ø
p
ì
n
ø
o)
ø
o
m
2
+o
2
o
m
2
+o
2
m
ø
sign(m
ø
p
ì
n
ø
o)
m
2
+o
2
rm
¸
m
2
+o
2
m
ø
n+o
ø
p
m
2
+o
2
0
|
m
ø
p
ì
n
ø
o
|
m
2
+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
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