Casio fx-3650P User Manual

E-31
xi yi
29 1.6
50 23.5
74 38.0
103 46.4
118 48.0
u Quadratic Regression
•The regression formula for quadratic regression is: y = A + Bx + Cx
2
.
• Example:
Perform quadratic regression to determine the regression
formula terms for the data nearby. Next, use the
regression formula to estimate the values for n
(estimated value of y) for xi = 16 and m (estimated value
of x) for yi = 20.
In the REG Mode:
r 3
(Quad)
A B 1 (Scl) < (Stat clear)
29 P 1.6 S 50 P 23.5 S
74 P 38.0 S 103 P 46.4 S
118 P 48.0 S
Regression Coefficient A = –35.59856934 A X r r 1 <
Regression Coefficient B = 1.495939413 A X r r 2 <
Regression Coefficient C = – 6.71629667 × 10
–3
A X r r 3 <
n when xi is 16 = –13.38291067 16 A X r r r 3 <
m1 when yi is 20 = 47.14556728 20 A X r r r 1 <
m2 when yi is 20 = 175.5872105 20 A X r r r 2 <
•After inputting data, you can perform the key operations that calcutate
statistical results (regression coefficients, n, m
1
, etc.) in any order. You do
not need to follow the order shown above.
Data Input Precautions
•To input the same data twice:
<x-data>
P
<y-data>
S S
•To input multiple entries of the same data by specifying the “frequency”:
<x-data>
P
<y-data>
A G
<frequency>
S
Example: To input the data X = 20, Y = 30 five times
20 P 30 A G 5 S
•Precautions when editing data input for standard deviation also apply for
regression calculations.

Casio fx-3650P Specifications

General

Type	Scientific
Form factor	Pocket
Housing material	Plastic
Digits	12 digits
Digit comma separator	Yes
Display number of lines	2 lines
Digit comma separator format	Standard (3 digits)
Battery type	LR44
Number of batteries supported	1

Weight and Dimensions

Weight	100 g
Dimensions (WxDxH)	78 x 157 x 12 mm