16
Enter REG Mode (Linear Regression):
Memory Clear:
10 1003 15 1005
20 1010 25 1011
30 1014
(Regression coefficient A)
(Regression coefficient B)
(Correlation coefficient r)
(Atmospheric pressure at 18°C)
18
(Temperature at 1000 hPa)
1000
Quadratic regression
l The regression equation for quadratic regression is:
y = A+Bx+Cx
2
l Input data using the following key sequence.
<x−data>
<y−data>
l Example:
xi
yi
29 1.6
50 23.5
74 38.0
103 46.4
118 48.0
Enter REG mode (Quadratic regression)
Memory Clear:
29 1.6 50 23.5
74 38.0 103 46.4
118 48.0
(Regression coefficient A)
(Regression coefficient B)
(Regression coefficient C)
30.
REG
..............
997.4
0.56
0.982607368
1007.48
4.642857143
Perform quadratic regression to determine the
regression formula terms and correlation
coefficient for the data nearby. Next, use the
regression formula to estimate the values for t
(estimated value of y) for xi = 16 and p
(estimated value of x) for yi = 20.
118.
REG
−35.599856934
1.495939413
−6.71629667
−03
To Next Page
Loading...
Need help?
General
