Linear Regression - Canon F-715SG User Instructions

Correlation coefficient r
Regression estimated value x
Regression estimated value y
Summation of all x
Summation of all x
Summation of all x
Regression coefficient C
Regression estimated value x
Regression estimated value x
Regression estimated value y

Linear regression

The Linear regression formula is in relation to two variables:
y = A + Bx
Example: By the following investment and yield table, calculate the
linear regression (regression coefficient A, regression coefficient B) of
capital investment verse yield, the correlation coefficient, the minimum
value of investment, the maximum value of yield (%), and the yield
percentage at 45 thousand unit of investment, and the investment unit
at 180% yield.
Investment (thousand unit)
Yield (%)
(Lin Regression)
For non-quadratic regression
For Quadratic regression only
3
values
2
y pairs
4
values
1
2
Operation
(Clear Stat. memory)
r
x
y
3
x
2
x y
4
x
C
x
1
x
2
y
20 30
120 126
Display (Upper)
Stat Clear
n =
A
B
r
31
40 50
130 136
Display (Lower)
- - - - - - - - - - - - - - -
0.998523984
60
141
. 0
. 5
1 0 9 8 .
0 5 . 2