.R esult i: let^2 be the unbiased estimator for^2 as defined by Equation
(11.33), and let
It follows from the results given in Section 9.3.2.3 that D is a^2 -distributed
random variable with (n 2) degrees of fr eedom.
.R esult ii: consider random variables
^
^
y = ^+^x
10 20
0
20
40
60
80
100
120
140
Young's modulus,
y
(g/cm
2 )
Stress,x (g/cm^2 )
Figure 11.3 Estimated regression line and observed data, for Example 11.3
348 Fundamentals of Probability and Statistics for Engineers
c
D
n 2 c^2
^2
: 11 : 34
A^ c^2
Xn
i 1
x^2 i
"
n
Xn
i 1
xix^2
(^8) "# 1
<
:
9
=
;
1 = 2
;
11 : 35
σ
^
α β
σ