the soil biogeochemistry in Californian salt marshes wished to explore how two of the most common plant species, pickleweed and pacific cordgrass, affected the accumulation of nitrogen in the soil. They measured the concentration of ammonium, a molecular form of organic nitrogen, in the soil, and measured or manipulated the density of pickleweed and cordgrass. Manipulations of ½ meter square plots (20 plots per manipulation) included removing all cordgrass (cordgrass removal), removing all pickleweed (pickleweed removal), or mixed (the control - nothing removed, thus mixed plots included a mixture of natural pickleweed and cordgrass). Boxplots of ammonium concentrations in each of the three manipulation treatments. Letters indicate differences among means as determined by a Tukey posthoc test following ANOVA. (b) Overall relationship between cordgrass stem density and soil ammonium content (includes data from all plot treatments). The solid black line and the gray shading represent the best fit line and 95% confidence interval as determined by linear regression analysis. The plot includes the linear equation for the best fit line (y = ammonium concentration, x = cordgrass density) and p value with the f test for the linear regression analysis A) the goal of achieving low ammonium concentrations in the sol Should you plant pickleweed, cordgrass, both, or none? Why? B) What is the estimate of beta from the regression, and what does it tell you about the relationship between the two variables? C) The p-value in Figure 3b comes from an F-test of a linear regression model, Whar is the null hypothesis for this model? what can you infer based on the p- value for the F-test of the linear regression? D) additio

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

the soil biogeochemistry in Californian salt marshes wished to explore how two of the most common plant species, pickleweed and pacific cordgrass, affected the accumulation of nitrogen in the soil. They measured the concentration of ammonium, a molecular form of organic nitrogen, in the soil, and measured or manipulated the density of pickleweed and cordgrass. Manipulations of ½ meter square plots (20 plots per manipulation) included removing all cordgrass (cordgrass removal), removing all pickleweed (pickleweed removal), or mixed (the control - nothing removed, thus mixed plots included a mixture of natural pickleweed and cordgrass). Boxplots of ammonium concentrations in each of the three manipulation treatments. Letters indicate differences among means as determined by a Tukey posthoc test following ANOVA. (b) Overall relationship between cordgrass stem density and soil ammonium content (includes data from all plot treatments). The solid black line and the gray shading represent the best fit line and 95% confidence interval as determined by linear regression analysis. The plot includes the linear equation for the best fit line (y = ammonium concentration, x = cordgrass density) and p value with the f test for the linear regression analysis A) the goal of achieving low ammonium concentrations in the sol Should you plant pickleweed, cordgrass, both, or none? Why? B) What is the estimate of beta from the regression, and what does it tell you about the relationship between the two variables? C) The p-value in Figure 3b comes from an F-test of a linear regression model, Whar is the null hypothesis for this model? what can you infer based on the p- value for the F-test of the linear regression? D) additional information could have been reported in the results to quantify uncertainty in the estimate of beta,