20010101
• Logarithmic Regression ...
MSE
=
Σ
1
n
–
2
i
=1
n
(
y
i
– (
a
+
b
ln
x
i
))
2
• Exponential Repression ...
MSE
=
Σ
1
n
–
2
i
=1
n
(
ln
y
i
– (
ln
a
+
bx
i
))
2
• Power Regression ...
MSE
=
Σ
1
n
–
2
i
=1
n
(
ln
y
i
– (
ln
a
+
b
ln
x
i
))
2
• Sin Regression ...
MSE
=
Σ
1
n
–
2
i
=1
n
(
y
i
– (
a
sin
(
bx
i
+
c
)
+
d
))
2
• Logistic Regression ...
MSE
=
Σ
1
n
–
2
1
+
ae
-bx
i
C
i
=1
n
y
i
–
2
u
uu
u
u
Estimated Value Calculation for Regression Graphs
The STAT Mode also includes a Y-CAL function that uses regression to calculate the
estimated
y
-value for a particular
x
-value after graphing a paired-variable statistical
regression.
The following is the general procedure for using the Y-CAL function.
1. After drawing a regression graph, press
6
(
g
)
2
(Y-CAL) to enter the graph selection mode,
and then press
w
.
If there are multiple graphs on the display, use
f
and
c
to select the graph you want, and
then press
w
.
• This causes an
x
-value input dialog box to appear.
2. Input the value you want for
x
and then press
w
.
• This causes the coordinates for
x
and
y
to appear at the bottom of the display, and moves the
pointer to the corresponding point on the graph.
3. Pressing
v
or a number key at this time causes the
x
-value input dialog box to reappear
so you can perform another estimated value calculation if you want.
1-1-2
Advanced Statistics (STAT)
20011101
