Vo 1. 20, No. 
Page 
chicken T ^«s'wUh P as s iifanrvL'i'ables. rOVide 3 5amP ' e ° f we " over 500 P™irie 
weather. This analysis should L ,nters P ecie s relations, and 
prairie chicken abundance and help us'to pred icTs"' 36 aff ® Ctin 9 annual 
neip us to pred ct spring populations of chickens. 
to i ndt vt dua 1 ^nests°and' f i e td s' to te^ *" ^T*' 0 " a "*Wsis for data relating 
success and nest dinsi tv! The J , ' 06 • ^° S ® factors Acting nest 
intraspecies and interslecies relattonl 65 w'V, d6a ' W ' th habitat an d with 
nest cover from the standpoint of nest succes^T t j b6 able t0 defr ' ne optimum 
nest density. These and o?h2J InaW es hi (predator-resistant cover) and 
definitive description of ,Ti„o i s. 
We can h :auiy r exc r ee b d e the n ca a p C ab?m?es h o? ^ ^' '! the 5heer »!«. of data, 
example, the stepwise multiple rnrref^?^ current computer programs. For 
dependent variables A pfeiiminarv fs;°^ Pr ^ ram i s iimited 199 in- 
study already contains 180 variable's. The d! "effing f uncUon^a lys i s' 
program is limited to 70 variables, we have at least trinle f h af k c 
variables available for analysis. Therefore, in addltK comp I W ng t'hese 
Pi! ,n . a [ orm suitable for computer analysis, we must carefully scrutinize 
all variables and select those we feel are important for a parUcuUr analysis. 
O -3* 
