105 
INTER RRLA TIONSHIR OR ROC R/■CORDS 
TABLE III 
Comparison of correlations for first and second year. For the constants 
upon which the differences are based see table I for first year production 
and table II for second year production. 
Month 
Differences in Correla¬ 
tion between monthly 
production and 
total production 
cliff, p 
cliff 
Difference 111 Correla¬ 
tion between monthly 
production and the re¬ 
maining mo. prod'tion 
<liff/E 
10 lift 
November 
—.1893 • 
• 1 
O 
Oj 
O' 
to 
1 
1 
■A 
— .1727 
.0410 
4 21 
December 
-•3237 
.0340 
9-52 
-.2936 
•0335 
7-63 
January 
— .2121 
■0327 
6.49 
-.1988 
± .0377 
5-27 
February 
—•0495 
■0344 
1.44 
— •0553 
.0392 
1.41 
March 
+.063I 
.0329 
1.92 
+.0557 
■0365 
i -53 
April 
+ .OII 5 1 
•0351 
°-33 
— .0182 
1 .0334 
0.47 
May 
4--°534 
•0337 
1.53 
+•0235 
f -0377 
0.62 
June 
-r -1561 
•033' 
4.72 
+ .1461 
1 -0377 
3.88 
July 
H- -1642 
.0299 
5-49 
+ .1601 
k -0357 
4.48 
August 
+.1155 
.0254 
4-55 
+•1123 
± .0326 
3-44 
September 
+•0833 
.0241 
3-46 
+ .0962 
.0312 
3.08 
October 
—.0203 
.0326 
0.62 
+ .0060 
1 -0377 
0.16 
TABLE IV 
Regression equations for the prediction of annual egg production from 
monthly egg records. 
Month 
Regression equations 
First year 
Second year 
November 
E = 143-833 + 2.899 e, 
E= 134.384 + 2.409 e, 
December 
E = 139-474 + 3-351 e. 
E= I 34-525 + 2.919 e 2 
January 
E = 141.061 + 3.438 e 3 
E= 123.499 + 3.164 e 3 
February 
E = 132.072 + 3.522 e 4 
E = 110.183 + 3-193 e 4 
March 
E = 71-290 + 5.042 e 5 
E = 50.890 + 4.8630. 
April 
E= 52.494 + 5.582 e 6 
E = 53-277 +4-050 e 6 
May 
E- 68.742 + 4.7720. 
E — 59.899 + 3.774 e 7 
June 
E = 95.902 + 3.'653 e 8 
E = 66.608 -f- 3.844 e 8 
July 
E = 107.135 + 3.35S e 9 
E = 78.701 + 3-497 e„ 
August 
E = 121.251 + 3.365 e Iu 
E = 96.003 + 3 256 e,„ 
September 
E= 152.126 + 3.398 e„ 
E = 111.551 + 3-586 e„ 
October 
E — 160.823 + 3.214 e,. 
E = 129.501 + 3.837 e I2 
