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A11(STAT) 5(Reg) 2(B) =
Results: Linear Regression Correlation Coefficient: 0.923
Logarithmic Regression Correlation Coefficient: 0.998
Logarithmic Regression Formula:
Calculating Estimated Values
Based on the regression formula obtained by paired-variable statistical
calculation, the estimated value of
The corresponding
regression) also can be calculated for a value of
formula.
To determine the estimate value for
4 4
regression formula produced by logarithmic regression of the data
in
. Specify Fix 3 for the result. (Perform the following operation
3
after completing the operations in
A 160 11(STAT) 5(Reg) 5( n) =
Result: 8106.898
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:
11(STAT)5(Distr).
P, Q, R: These functions take the argument
standard normal distribution as illustrated below.
'
t:
This function is preceded by the argument X, and determines the
normalized variate
For the single variable data {
5 5
6;3, 7;4, 9;2, 10;1}, to determine the normalized variate ('
= 3, and P(
1N(SETUP)c4(STAT)1(ON)
1N(SETUP)6(Fix)3N2(STAT)1(1-VAR)
0 = 1 = 2 = 3 = 4 = 5 = 6 = 7 = 9 =
10=ce1=2=1=2=2=2=3=
A 3 11(STAT)5(Distr)4('
x
-value (two values,
t
t
P (
P (
)
)
t
t
0
0
.
t
) at that point up to three decimal places (Fix 3).
4 = 2 = 1 =
y
= –3857.984 + 2357.532ln
y
can be calculated for a given
x
x
and
1
2
y
when
.)
3
t
and determine a probability of
t
t
Q (
Q (
)
)
t
t
0
0
x
n ; freq n } = {0;1, 1;2, 2;1, 3;2, 4;2, 5;2,
t
)=
E-19
, in the case of quadratic
y
in the regression
x
= 160 in the
t
t
R (
R (
)
)
t
t
0
0
STAT
STAT
STAT
STAT
x
x
-value.
t
x
) when
FIX
FIX
FIX
FIX
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