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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 61 64 60 41 Sprout Percent 65.5 55 67 75.5 59 66.5 40 48 62 69 56 a. Find the correlation coefficient: r b. The null and alternative hypotheses for correlation are: Ho: H₁:[ The p-value is: Round to 2 decimal places. (Round to four decimal places) c. Use a level of significance of a 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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 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. O 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. O 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.

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 61 64 60 41 Sprout Percent 65.5 55 67 75.5 59 66.5 40 48 62 69 56 a. Find the correlation coefficient: r b. The null and alternative hypotheses for correlation are: Ho: H₁:[ The p-value is: Round to 2 decimal places. (Round to four decimal places) c. Use a level of significance of a 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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 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. O 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. O 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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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h. Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. O For every additional seed that a plant produces, the chance for each of the seeds to sprout tends to decrease by 0.70 percent. O The slope has no practical meaning since it makes no sense to look at the percent of the seeds that sprout since you cannot have a negative number. i. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. O The best prediction for a plant that has 0 seeds is 104.67 percent. O If plant produces no seeds, then that plant's sprout rate will be 104.67. O The average sprouting percent is predicted to be 104.67.
Transcribed Image Text:h. Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. O For every additional seed that a plant produces, the chance for each of the seeds to sprout tends to decrease by 0.70 percent. O The slope has no practical meaning since it makes no sense to look at the percent of the seeds that sprout since you cannot have a negative number. i. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. O The best prediction for a plant that has 0 seeds is 104.67 percent. O If plant produces no seeds, then that plant's sprout rate will be 104.67. O The average sprouting percent is predicted to be 104.67.
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. 61 64 60 41 59 Seeds Produced Sprout Percent 65.5 55 67 75.5 66.5 48 62 69 56 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: H₂: ?=0 H₁ : 2 ✓ +0 The p-value is: Round to 2 decimal places. (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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 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. O 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. O 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. (Round to two decimal places) e. Interpret ²: O 69% of all plants produce seeds whose chance of sprouting is the average chance of sprouting. There is a 69% chance that the regression line will be a good predictor for the percent of seeds that sprout based on the number of seeds produced. Given any group of plants that all produce the same number of seeds, 69% of all of these plants will produce seeds with the same chance of sprouting. f. The equation of the linear regression line is: 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 69%. z (Please show your answers to two decimal places) g. Use the model to predict the percent of seeds that sprout if the plant produces 60 seeds. Percent sprouting= (Please round your answer to the nearest whole number.)
Transcribed Image Text: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. 61 64 60 41 59 Seeds Produced Sprout Percent 65.5 55 67 75.5 66.5 48 62 69 56 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: H₂: ?=0 H₁ : 2 ✓ +0 The p-value is: Round to 2 decimal places. (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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 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. O 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. O 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. (Round to two decimal places) e. Interpret ²: O 69% of all plants produce seeds whose chance of sprouting is the average chance of sprouting. There is a 69% chance that the regression line will be a good predictor for the percent of seeds that sprout based on the number of seeds produced. Given any group of plants that all produce the same number of seeds, 69% of all of these plants will produce seeds with the same chance of sprouting. f. The equation of the linear regression line is: 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 69%. z (Please show your answers to two decimal places) g. Use the model to predict the percent of seeds that sprout if the plant produces 60 seeds. Percent sprouting= (Please round your answer to the nearest whole number.)
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