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24
Specific
Features
of the
HP-33E
The
corrected values
for mean and
standard
deviation are
now
obtainable
by
execu ting
the
00
and
m
functions.
For
example. suppose
that
you
discover
a recording
error
in
the data
you
have
gathered
on the
temperatures
in
Fairbanks. and
you
find
that
the Monday high
and
low
values are
actually 5
and
- 19.
To
account
for the
change
in mean and
standard
dev iation
va
lues:
Keystrokes
Disptay
It 1
....... 1
11.0000
The incorrect
y va
lue.
t7
ICHSI
-17.
The
incorrect x
value.
OJIB
6.0000
The
incorrect
va
lues
have
been
deleted
and
the
number
of entries is
now
6
(n
=
6).
51
.......
1
5.0000
The
correct
y val
ue
.
t9
ICHSI
-19.
The
correct x va
lue.
[0
7.0000
The
correct va
lues
have
been
summed.
The
number
of
entries
is
now
7.
[]]oo
-21.8571
The
correct
mean of the
low
temperatures
(mean of x).
I
r.,
I
4.4286
The
correct
mean
of
high
temperatures
(mean
of
y).
[]]0
8.6492
The
correct standard
de~
viat ion of
the
low
temper-
atures (x va lues).
I
..
,]
7.8921
The
correct
standard
de-
viation
of the
hi gh
temper-
atures (y values).
Linear Regression
Linear regression is a
statistical method
for
finding
a straight line
that
best
fits
a
set of data
points.
thus
prov iding a relations
hip
between two
variab les.
If
there
is
equa
l
time
or
space between data points.
then
this
is
called a
trend line
.
Because
of
the
calcu lat ion
technique used.
linear
regress ion
is
of
len
referred to
as a least squares fit.
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