included. The complete regression statistics for this condition are presented 

 in Table 17. The linear regression equation resulting from this analysis is: 



HS2 = 0.003 + 0.374 HS1 



(25) 



The intercept is notably very near zero indicating that an attenuation factor 

 of 0.37 for the conditions stated above has significance. In fact the 90 per- 

 cent confidence interval on the intercept, given by (-0.17, 0.18), contains 

 zero indicating that the intercept is not significantly different from zero 

 in a statistical sense. The slope or attenuation factor has 90 percent con- 

 fidence interval (0.31, 0.43). 



Table 17 



Linear Regression Summary for Inner Buoy 



Significant Wave Height (HS2) and Outer 



Buoy Significant Wave Height (HS1) 



Variable(s) Entered on Step Number 1 



Multiple R 

 R Square 



Adjusted R Square 

 Standard Error 



0.86888 

 0.75495 

 0.74814 

 0.19925 



Analysis of 

 Variance 



Regression 

 Residual 



DF 



1 

 36 



Sum of 

 Squares 



4.40304 

 1.42921 



Mean 

 Square 



4.40304 

 0.03970 



110.90697 



Variable 



HS1 

 (Constant) 



Variables in the Equation 



0.37425 

 0.00311 



Beta 



Standard 

 Error B 



0.86888 0.03554 



110.907 



41 



