Quadratic Regression - Casio fx-95MS User Manual

Temperature at 1000 hPa = 4.642857143
Coefficient of Determination = 0.965517241
Sample Covariance = 35
u Logarithmic, Exponential, Power, and Inverse
Regression
• Use the same key operations as linear regression to re-
call results for these types of regression.
• The following shows the regression formulas for each
type of regression.
Logarithmic Regression y
Exponential Regression y
Power Regression
Inverse Regression
u Quadratic Regression
• The regression formula for quadratic regression is:
y x
= A + B
• Example:
x
i
29
50
74
103
118
In the REG Mode:
r 3 (Quad)
A B 1
(Scl)
x
2
+ C .
Perform quadratic regression to de-
y
i
termine the regression formula terms
1.6
for the data nearby. Next, use the
23.5
regression formula to estimate the
38.0
values for
x
46.4
= 16 and
i
for
48.0
=
(Stat clear)
A X r r r 1 =
1000
A X r r 3 K =
E A U r 3 ,
A U 3 - A X 1 -
A X r 1 F \
E A U 3 ,
A
B
e
A
B
x
A
y
A
y
n
(estimated value of
m
(estimated value of
y
= 20.
i
P
29 1.6
P
74 38.0
31
B In x
·
x
(In y In A + Bx)
(In y In A + B In x)
1
B /
x
S P
50
S P
103
P
118
F =
1
y
) for
x
)
S
23.5
S
46.4
S
48.0