1) A) What can the researchers conclude about the F value of the following ANOVA test conducted in R? Here is the code and output from the test: eelgrassANOVA F) treatmentGenotypes 2 2952.8 1476.40 ?? 0. 01077 Residuals 29 8049.1 277.55 Signif. codes: "###' 0.001 ##' 0.01 "#' 0.05 .' 0.1 O The sample F-ratio is significantly greater than 0 The sample F-ratio is significantly greater than 1 The sample F-ratio does not differ from 0 O The sample F-ratio does not differ from 1 B) Here is the output of a linear regression test for the study of sun fleck patches and growth in wood species in a forest. Based on the output. does area of a sun fleck (flackDuration) significantly predict the growth (growth) of weed species? Seed_regression |t[) (Intercept) -0. 0017087 0.0024716 -0.691 0.498 fleckDuration 0. 0025295 0.0004483 5.642 1.93e-05 ## # Signif. codes: 0 '*#* ' 0.001 "##' 0.01 "#' 0.05 '. ' 0.1 . ' Residual standard error: 0.004488 on 19 degrees of freedom Multiple R-squared: 0.6262. Adjusted R-squared: 0.6066 F-statistic: 31.84 on 1 and 19 DF, p-value: 1.934e-05 O No