Agro-food industry and race

(Hover over the dots to see the specific county)

Nonmetro counties with >5% working in Animal Slaughtering and Processing

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## 
## Call:
## lm(formula = pct_hisp ~ pct_employ, data = meat_dep_co)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.28766 -0.09251 -0.04376  0.07518  0.40334 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)  0.08649    0.05205   1.662   0.1037  
## pct_employ   1.19956    0.44935   2.670   0.0106 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1556 on 44 degrees of freedom
## Multiple R-squared:  0.1394, Adjusted R-squared:  0.1198 
## F-statistic: 7.126 on 1 and 44 DF,  p-value: 0.0106

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Nonmetro counties with >10 people working in Animal Slaughtering and Processing

LR summary for

## 
## Call:
## lm(formula = pct_hisp ~ pct_employ, data = meat_dep_co_all)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.27725 -0.05292 -0.03811 -0.00050  0.88349 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 0.067905   0.004288  15.835  < 2e-16 ***
## pct_employ  1.244731   0.151888   8.195 8.44e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1185 on 911 degrees of freedom
## Multiple R-squared:  0.06866,    Adjusted R-squared:  0.06764 
## F-statistic: 67.16 on 1 and 911 DF,  p-value: 8.444e-16

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