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Table 2 Summary of linear regression model

From: Associations between Mycobacterium avium subsp. paratuberculosis antibodies in bulk tank milk, season of sampling and protocols for managing infected cows

  

Multivariate model

Variable

Description

β Coefficient

Standard error

P-value

Intercept

 

-0.045

0.008

< .001

Production

Conventional

-0.003

0.004

0.400

 

Organic

0

-

-

Herd size

< 100

0.010

0.007

0.175

 

100 to 200

0.003

0.008

0.734

 

> 200

0

-

-

State

NY

0.003

0.004

0.463

 

OR

0.013

0.007

0.069

 

WI

0

-

-

Johne’s procedures

Cull after calving or dry off

0.020

0.009

0.025

Cull immediately

0.010

0.005

0.035

Keep

0.018

0.007

0.019

Never observed clinical Johne’s disease

0

-

-

Seasonality

Cosine 2 π Day 365

-0.030

0.003

< .001

  1. Linear regression model on Mycobacterium avium subsp. paratuberculosis ELISA optical density from bulk tank milk samples of 233 farms. Multivariate model was built by backwards stepwise elimination and started with all variables listed in Table 1.