NE storm at 100% gain 



Linear Regression 



BO =-2.036036 Bl = .312624 



Var(BO) = .078376 Var(Bl) = .001042 



1 X = 7.00 Y-Est = .1523 VAR = .014148 

 L(80)= .045755 L(90)= -.015977 L(95)= -.128974 

 U(80)= .258903 U(90)= .320635 U(95)= .433631 



2 X = 7.50 Y-Est = .3086 VAR = .012730 

 L(80)= .207547 L(90)= .148990 L(95)= .041804 

 U(80)= .409734 U(90)= .468291 U(95)= .575477 



3 X = 8.00 Y-Est = .4650 VAR = .011833 

 L(80)= .367485 L(90)= .311029 L(95)= .207687 

 U(80)= .562419 U(90)= .618876 U(95)= .722218 



4 X = 8.50 Y-Est = .6213 VAR = .011457 

 L(80)= .525359 L(90)= .469806 L(95)= .368121 

 U(80)= .717170 U(90)= .772722 U(95)= .874408 



5 X = 9.00 Y-Est = .7776 VAR = ,011602 

 L(80)= .681067 L(90)= .625165 L(95)= .522839 

 U(80)= .874085 U(90)= .929987 U(95)= 1.032313 



6 X = 9.50 Y-Est = .9339 VAR = .012267 

 L(80)= .834650 L(90)= .777167 L(95)= .671948 

 U(80)= 1.033126 U(90)= 1.090609 U(95)= 1.195828 



Figure Bl . Regression analysis results (Sheet 1 of 8) 



B2 



