I crunched the number. Your R² value for this model is about .03 for this. Not to mention, your p-value comes out to 0.11, which indicates a weak correlation.

I also find it fundamentally dishonest that you left out a few key players in your diagram, notably TN, SC, and TX. What was the reason behind this exclusion?

> summary(lm(olive/pop ~ pct, data=olive))

Call:
lm(formula = olive/pop ~ pct, data = olive)

Residuals:
       Min         1Q     Median         3Q        Max 
-5.483e-06 -1.867e-06 -1.286e-06  4.284e-07  2.620e-05 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  6.172e-06  1.066e-06   5.790 5.23e-07 ***
pct         -2.569e-07  1.597e-07  -1.608    0.114    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 5.139e-06 on 48 degrees of freedom
Multiple R-squared:  0.05113,   Adjusted R-squared:  0.03136 
F-statistic: 2.586 on 1 and 48 DF,  p-value: 0.1143