Calculating Estimated Values
Based on the regression formula obtained by paired-variable statistical
calculation, the estimated value of
value. The corresponding
of quadratic regression) also can be calculated for a value of
regression formula.
To determine the estimate value for
3 3
regression formula produced by logarithmic regression of the
data in
operation after completing the operations in
(- 130 )12(S-VAR) eee1( m) =
Important: Regression coefficient, correlation coefficient, and
estimated value calculations can take considerable time when there
are a large number of data items.
Performing Normal Distribution Calculations
While single-variable statistical calculation is selected, you can perform
normal distribution calculation using the functions shown below from
the menu that appears when you perform the following key operation:
13(DISTR).
P, Q, R: These functions take the argument
probability of standard normal distribution as illustrated below.
'
t:
This function is preceded by the argument X, and determines the
normalized variate
To determine the normalized variate ('
4 4
normal probability distribution P(
54, 51, 55, 53, 53, 54, 52
,,b(SD)
55 7 54 7 51 7 55 7 53 77 54 7 52 7
!d(DISTR) b(P ( ) - 0.28 )=
n
Base-
Press NN3(BASE) to enter the BASE Mode when you want to
perform calculations using decimal, hexadecimal, binary, and/or octal
values. The initial default number mode when you enter the BASE
Mode is decimal, which means input and calculation results use the
decimal number format. Press one of the following keys to switch
x
-value (two values,
. Specify Fix 3 for the result. (Perform the following
2
t
t
P (
P (
)
)
t
t
0
0
'
σ
x
53 !d(DISTR)e('
Calculations (BASE)
y
can be calculated for a given
x
t
t
Q (
Q (
)
)
t
t
0
0
.
t
) for the following data: 55,
t
)=
E-20
x
x
and
, in the case
1
2
y
when
= −130 in the
.)
2
t
and determine a
R (
R (
t
t
0
0
t
x
) for
= 53 and
−0.284747398
x
-
y
in the
4.861
t
t
)
)
0.38974