NE storm at 90% gain 



Linear Regression 



BO =-1.968573 Bl = .292247 



Var(BO) = .160750 Var(Bl) = .002136 



1 X = 7.00 Y-Est = .0772 VAR = .029017 

 L(80)= -.075470 L(90)= -.163879 L(95)= -.325705 

 U(80)= .229785 U(90)= .318194 U(95)= .480020 



2 X = 7.50 Y-Est = .2233 VAR = .026109 

 L(80)= .078502 L(90)= -.005360 L(95)= -.158864 

 U(80)= .368060 U(90)= .451922 U(95)= .605427 



3 X = 8.00 Y-Est = .3694 VAR = .024270 

 L(80)= .229819 L(90)= .148965 L(95)= .000967 

 U(80)= .508990 U(90)= .589844 U(95)= .737842 



4 X = 8.50 Y-Est = .5155 VAR = .023498 

 L(80)= .378179 L(90)= .298620 L(95)= .152993 

 U(80)= .652878 U(90)= .732436 U(95)=: .878063 



5 X = 9.00 Y-Est = .6617 VAR = .023795 

 L(80)= .523438 L(90)= .443379 L(95)= .296835 

 U(80)= .799866 U(90)= .879925 U(95)= 1.026469 



6 X = 9.50 Y-Est = .8078 VAR = .025160 

 L(80)= .665653 L(90)= .583330 L(95)= .432642 

 U(80)= .949898 U(90)= 1.032221 U(95)= 1.182909 



Figure Bl. (Sheet 2 of 8) 



B3 



