The invasive diatóm species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage in rivers. An article described an investigation of colónization behavior. One aspect of particular interest was whether y = colony density was related to x = rock surface area. The article contained a scatterplot and summary of a regression analysis. Here is representative data. x 50 71 55 50 33 58 79 26 y 172 1949 68 42 22 25 55 27 69 44 37 70 20 45 49 y 289 58 191 33 63 205 45 (a) Fit the simple linear regression model to this data. (Round your numerical values to three decimal places.) y = Predict colony density when surface area = 70 and calculate the corresponding residual. (Round your answers to the nearest whole number.) colony density corresponding residual Predict colony density when surface area = 71 and calculate the corresponding residual. (Round your answers to the nearest whole number.) colony density corresponding residual How do the residuals compare? O The residuals for both points are negative. O The residual for the first point is positive, while the residual for the second point is negative. O The residual for the first point is negative, while the residual for the second point is positive. O The residuals for both points are positive.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Question
100%
(b) Calculate the coefficient of determination. (Round your answer to three decimal places.)
Interpret the coefficient of determinațion.
O The coefficient of determination is the increase in rock surface area due to an increase in one unit of rock surface area.
O The coefficient of determination is the increase in colony density due to an increase in one unit of colony density.
O The coefficient of determination is the proportion of the total variation in colony density that can be explained by a linear regression model with rock surface area as the
predictor.
O The coefficient of determination is the probability that the regression model fits the data.
O The coefficient of determination is the proportion of the total variation in rock surface area that can be explained by a linear regression model with colony density as the
predictor.
(c) The second observation has a very extreme y value (in the full data set consisting of 72 observations, there were two of these). This observation may have had a substantial
impact on the fit of the model and subsequent conclusions. Eliminate it and recalculate the equation of the estimated regression line. (Round your values to three decimal places.)
y =
Does it appear to differ substantially from the equation before the deletion?
O The new equation is substantially different.
O The new equation is not substantially different.
What is the impact on r2 and s?
O r2 and
are both smaller.
O r2 and s are both larger.
O r2 is smaller, while s is larger.
Or is larger, while s is smaller.
Transcribed Image Text:(b) Calculate the coefficient of determination. (Round your answer to three decimal places.) Interpret the coefficient of determinațion. O The coefficient of determination is the increase in rock surface area due to an increase in one unit of rock surface area. O The coefficient of determination is the increase in colony density due to an increase in one unit of colony density. O The coefficient of determination is the proportion of the total variation in colony density that can be explained by a linear regression model with rock surface area as the predictor. O The coefficient of determination is the probability that the regression model fits the data. O The coefficient of determination is the proportion of the total variation in rock surface area that can be explained by a linear regression model with colony density as the predictor. (c) The second observation has a very extreme y value (in the full data set consisting of 72 observations, there were two of these). This observation may have had a substantial impact on the fit of the model and subsequent conclusions. Eliminate it and recalculate the equation of the estimated regression line. (Round your values to three decimal places.) y = Does it appear to differ substantially from the equation before the deletion? O The new equation is substantially different. O The new equation is not substantially different. What is the impact on r2 and s? O r2 and are both smaller. O r2 and s are both larger. O r2 is smaller, while s is larger. Or is larger, while s is smaller.
The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage in rivers. An article described an investigation of colonization
behavior. One aspect of particular interest was whether y = colony density was related to x = rock surface area. The article contained a scatterplot and summary of a regression analysis.
Here is representative data.
50
71
55 50
33 58 79 26
y| 172 1949 68 42 22 25 55 27
69
44
37
70 20
45
49
y| 289 58 191 33 63 205
45
(a) Fit the simple linear regression model to this data. (Round your numerical values to three decimal places.)
y =
Predict colony density when surface area = 70 and calculate the corresponding residual. (Round your answers to the nearest whole number.)
colony density
corresponding residual
Predict colony density when surface area = 71 and calculate the corresponding residual. (Round your answers to the nearest whole number.)
colony density
corresponding residual
How do the residuals compare?
O The residuals for both points are negative.
O The residual for the first point is positive, while the residual for the second point is negative.
O The residual for the first point is negative, while the residual for the second point is positive.
O The residuals for both points are positive.
Transcribed Image Text:The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage in rivers. An article described an investigation of colonization behavior. One aspect of particular interest was whether y = colony density was related to x = rock surface area. The article contained a scatterplot and summary of a regression analysis. Here is representative data. 50 71 55 50 33 58 79 26 y| 172 1949 68 42 22 25 55 27 69 44 37 70 20 45 49 y| 289 58 191 33 63 205 45 (a) Fit the simple linear regression model to this data. (Round your numerical values to three decimal places.) y = Predict colony density when surface area = 70 and calculate the corresponding residual. (Round your answers to the nearest whole number.) colony density corresponding residual Predict colony density when surface area = 71 and calculate the corresponding residual. (Round your answers to the nearest whole number.) colony density corresponding residual How do the residuals compare? O The residuals for both points are negative. O The residual for the first point is positive, while the residual for the second point is negative. O The residual for the first point is negative, while the residual for the second point is positive. O The residuals for both points are positive.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman