I already have the answers for the first three problems which I understand. Can you please help on the remaining questions as our professor is not helpful at all? I am having a hard time understanding some of this.A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced6057404445585448Sprout Percent5453.26559.46649.851.464.8 Find the correlation coefficient: r=r= Round to 2 decimal places.The null and alternative hypotheses for correlation are:H0:H0: == 0H1:H1: ≠≠ 0 The p-value is: (Round to four decimal places)Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful.There is statistically insignificant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the use of the regression line is not appropriate.There is statistically insignificant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds.There is statistically significant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. r2r2 = (Round to two decimal places) Interpret r2r2 : There is a large variation in the percent of seeds that sprout, but if you only look at plants that produce a fixed number of seeds, this variation on average is reduced by 73%.73% of all plants produce seeds whose chance of sprouting is the average chance of sprouting.Given any group of plants that all produce the same number of seeds, 73% of all of these plants will produce seeds with the same chance of sprouting.There is a 73% chance that the regression line will be a good predictor for the percent of seeds that sprout based on the number of seeds produced.The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places.

Given, x = independent variable = Seeds produced y = dependent variable = Sprout percent

Answered: biologist

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

I already have the answers for the first three problems which I understand. Can you please help on the remaining questions as our professor is not helpful at all? I am having a hard time understanding some of this.

A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below.

Seeds Produced	60	57	40	44	45	58	54	48
Sprout Percent	54	53.2	65	59.4	66	49.8	51.4	64.8

Find the correlation coefficient: r=r= Round to 2 decimal places.
The null and alternative hypotheses for correlation are:
H0:H0:      == 0
H1:H1:       ≠≠ 0
The p-value is:    (Round to four decimal places)
Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.
- There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful.
- There is statistically insignificant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the use of the regression line is not appropriate.
- There is statistically insignificant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds.
- There is statistically significant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds.
r2r2 = (Round to two decimal places)
Interpret r2r2 :
- There is a large variation in the percent of seeds that sprout, but if you only look at plants that produce a fixed number of seeds, this variation on average is reduced by 73%.
- 73% of all plants produce seeds whose chance of sprouting is the average chance of sprouting.
- Given any group of plants that all produce the same number of seeds, 73% of all of these plants will produce seeds with the same chance of sprouting.
- There is a 73% chance that the regression line will be a good predictor for the percent of seeds that sprout based on the number of seeds produced.
The equation of the linear regression line is:
ˆyy^ = + xx (Please show your answers to two decimal places.