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+B
x
+C
x
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
Summary of Contents for LCD?8110
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