Biomedical Engineering Reference
In-Depth Information
Table 9.1.
The
t
values for
P
= 0.1, 0.05, 0.02, 0.01, and 0.001
=
FP
0.10
0.05
0.02
0.01
0.001
1
6.31
12.71
31.82
63.66
318.31
2
2.92
4.30
6.97
9.92
22.23
3
2.35
3.18
4.54
5.84
10.21
4
2.13
2.78
3.75
4.03
7.17
5
2.01
2.57
3.37
4.03
5.89
6
1.94
2.45
3.14
3.71
5.21
7
1.89
2.36
3.00
3.50
4.79
8
1.86
2.31
2.90
3.36
4.50
9
1.83
2.26
2.82
3.25
4.30
10
1.81
2.23
2.76
3.17
4.14
11
1.80
2.20
2.72
3.11
4.03
12
1.78
2.18
2.68
3.05
3.93
13
1.77
2.16
2.65
3.01
3.85
14
1.76
2.14
2.62
2.98
3.79
15
1.75
2.13
2.60
2.95
3.73
16
1.75
2.12
2.58
2.92
3.69
17
1.74
2.11
2.57
2.90
3.65
18
1.73
2.10
2.55
2.88
3.61
19
1.73
2.09
2.54
2.86
3.58
20
1.72
2.09
2.53
2.85
3.55
21
1.72
2.08
2.52
2.83
3.53
22
1.72
2.07
2.51
2.82
3.51
23
1.71
2.07
2.50
2.81
3.49
24
1.71
2.06
2.49
2.80
3.47
25
1.71
2.06
2.49
2.79
3.45
26
1.71
2.06
2.48
2.78
3.44
27
1.70
2.05
2.47
2.77
3.42
28
1.70
2.05
2.47
2.76
3.41
29
1.70
2.05
2.46
2.76
3.40
30
1.70
2.04
2.46
2.75
3.39
40
1.68
2.02
2.42
2.70
3.31
60
1.67
2.00
2.39
2.66
3.23
120
1.66
1.98
2.36
2.62
3.16
x
i
and y
i
:valuesofthei
th
pair of data; m
x
and m
y
: mean of x and
yvalues,respectively;n:numberofdatapairs;s
x
and s
y
: standard
deviation of the x and y values, respectively.
If there is a linear connection, calculation of unknowns by
the regression function is possible. But as shown in Fig. 1.1, for
example, the linear correlation very often exists only approximately
in a small range.
Computation of a linear regression is possible with each popu-
lation of x-y pairs of data. But it should be checked whether other
functions may be the basis of the connection between x and y, es-
