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Texas Instruments TI-60 - Page 40

Texas Instruments TI-60
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CHAPTER
1-4
STATISTICS
Linear
regression
With
linear
regression,
you
can
establish
a
relationship
among
Known
events
that
will
enable
you
to
estimate
future
occurences.
In
this
example,
you
determine
how
the
amount
of
sales
relates
to
the
number
ot
sales
people
Then,
you
use
this
information
to
predict
the
amount
ot
sales
achievable
by
a
specific
number
of
sales
people
txampie
A
life
Insurance
company
has
found
that
the
volume
of
sales
in
each
office
varies
according
to
tne
number
of
sales
people
Offices
in
various
cities
have
the
following
number
of
sales
people
and
resulting
sales
Number
ol
salespeople
I
7
12
3
5
11
8
Sales
in
£1000
per
month
99
152
81
98
151
112
Perform
a
linear
regression
analysts
to
predict
the
amount
ol
sales
it
the
company
establishes
a
new
office
with
nine
salespeople
Determine
tho
correlation
coefficient
of
tha
data
values
and
the
slope
and
intercept
of
the
First,
tabulate
the
data
in
terms
of
x
and
y
Then,
enter
the
x
and
y
values
into
the
statistical
registers
to
predict
the
y
value
<!
the
x
value
is
9
*
L4—
7
99000
12
152000
3
81000
5
98000
11
151000
8
112000
Preas
iJgPF
ON
2nd
[CSR]
7
x-
y
99000
Q=
12
152000
St
3
x
-y
81000
1
+
5
x*.y
98000
it
11
x
-y
151000
S.t
8
x-
y
112000
S3
9
2nd
IVJ
Comments
Clear
calculator
Clear
•
STAT
-
registers
(only
if
in
•
STAT
-
mode)
Enter
x
and
y
data
Enter
the
x
value
Predict
the
y
value
The
company
can
expect
nine
salespeople
to
sell
about
E126.600
per
month.
30-GB

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