No relationship between AUDPC and yield?

[adamhsparks]

The text states that there appears to be no relationship between yield and AUDPC in the graph or linear model. But when I knit/run the linear model this is the result*:

Call:
lm(formula = grain_yield.t.ha. ~ AUDPC_m, data = PM_MB_means)

Residuals:
    Min      1Q  Median      3Q     Max 
-0.9620 -0.4077 -0.0783  0.3836  1.3954 

Coefficients:
            Estimate Std. Error t value            Pr(>|t|)    
(Intercept) 1.038082   0.051249   20.26 <0.0000000000000002 ***
AUDPC_m     0.001032   0.000395    2.61              0.0095 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.537 on 314 degrees of freedom
  (39 observations deleted due to missingness)
Multiple R-squared:  0.0213,    Adjusted R-squared:  0.0181 
F-statistic: 6.82 on 1 and 314 DF,  p-value: 0.00945

Am I just confused about what's being referred to here? This is found here: https://github.com/openplantpathology/Mungbean_PM/blob/fa40d4dc55e604d95597231183f912975ec34982/03_Prep_data.Rmd#L409

*In my branch I've removed the restriction to only look at row spacing of 0.75m. However, this model still indicates significance with or without this restriction.

[adamhsparks]

The AUDPS does not appear to have a relationship at p<0.05 tho...

[PaulMelloy]

Explanation has been corrected