Table 3. Linear regression model adjusting for age, lifestyle, education, and pesticide exposure*
  Parameter   Estimate   Standard Error   t Value   Pr > ||t||

  Intercept   0.995   0.017   58.15   <0.0001
  Age   -0.00008   0.0005   -0.15   0.88
  Smoke (yes/no)   -0.0025   0.0066   -0.38   0.70
  Alcohol (yes/no)   -0.00065   0.0056   -0.12   0.901
  Education (less than high school vs high school or above)   -0.0029   0.0062   -0.46   0.65
  Pesticide (yes/no)   -0.00004   0.0067   -0.01   0.99
  Group: boron worker vs control   -0.056   0.0064   -8.74   <0.0001
  Group: community comparison vs control   -0.028   0.0072   -3.91   0.0001

  *Model: Y:X ratio = age + smoke + alcohol + education + pesticide + group.