Texas Instruments TINSPIRE Reference Guide - Page 41

Catalog &gt, ExpReg, Output variable, Description, stat.a

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exp() exp(Value1) ⇒ value Returns e raised to the Value1 power. Note: See also e exponent template, page 2. You can enter a complex number in rei q polar form. However, use this form in Radian angle mode only; it causes a Domain error in Degree or Gradian angle mode. exp(List1) ⇒ list Returns e raised to the power of each element in List1. exp(squareMatrix1) ⇒ squareMatrix Returns the matrix exponential of squareMatrix1. This is not the same as calculating e raised to the power of each element. For information about the calculation method, refer to cos(). squareMatrix1 must be diagonalizable. The result always contains floating-point numbers. expr( ) expr(String) ⇒ expression Returns the character string contained in String as an expression and immediately executes it. u key Catalog > ExpReg ExpReg X, Y [, [Freq] [, Category, Include]] Computes the exponential regression y = a·(b)x on lists X and Y with frequency Freq. A summary of results is stored in the stat.results variable. (See page 97.) All the lists must have equal dimension except for Include. X and Y are lists of independent and dependent variables. Freq is an optional list of frequency values. Each element in Freq specifies the frequency of occurrence for each corresponding X and Y data point. The default value is 1. All elements must be integers | 0. Category is a list of numeric or string category codes for the corresponding X and Y data. Include is a list of one or more of the category codes. Only those data items whose category code is included in this list are included in the calculation. For information on the effect of empty elements in a list, see "Empty (void) elements" on page 131. Catalog > Output variable stat.RegEqn stat.a, stat.b stat.r2 stat.r Description Regression equation: a·(b)x Regression coefficients Coefficient of linear determination for transformed data Correlation coefficient for transformed data (x, ln(y)) TI-Nspire™ Reference Guide 35

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TI-Nspire™ Reference Guide
35
exp()
u
key
exp(
Value1
)
⇒
value
Returns
e
raised to the
Value1
power.
Note:
See also
e
exponent template, page
2
.
You can enter a complex number in re
i
q
polar form. However, use this
form in Radian angle mode only; it causes a Domain error in Degree
or Gradian angle mode.
exp(
List1
)
⇒
list
Returns
e
raised to the power of each element in
List1
.
exp(
squareMatrix1
)
⇒
squareMatrix
Returns the matrix exponential of
squareMatrix1
. This is not the
same as calculating
e
raised to the power of each element. For
information about the calculation method, refer to
cos()
.
squareMatrix1
must be diagonalizable. The result always contains
floating-point numbers.
expr()
Catalog >
expr(
String
)
⇒
expression
Returns the character string contained in
String
as an expression and
immediately executes it.
ExpReg
Catalog >
ExpReg
X, Y
[
,
[
Freq
]
[
, Category, Include
]]
Computes the exponential regression
y = a
·
(b)
x
on lists
X
and
Y
with frequency
Freq
. A summary of results is stored in the
stat.results
variable. (See page 97.)
All the lists must have equal dimension except for
Include
.
X
and
Y
are lists of independent and dependent variables.
Freq
is an optional list of frequency values. Each element in
Freq
specifies the frequency of occurrence for each corresponding
X
and
Y
data point. The default value is 1. All elements must be integers
|
0.
Category
is a list of numeric or string category codes for the
corresponding
X
and
Y
data.
Include
is a list of one or more of the category codes. Only those data
items whose category code is included in this list are included in the
calculation.
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable
Description
stat.RegEqn
Regression equation: a
·
(b)
x
stat.a, stat.b
Regression coefficients
stat.r
2
Coefficient of linear determination for transformed data
stat.r
Correlation coefficient for transformed data (x, ln(y))