A honours student was analyzing their data concerning the total mass of song sparrows in a given nest (in grams) as a function of the distance of the nest to the nearest a food source (in meters). They generated the following diagnostic plots and regression results: mass_total ## # 180- 150- 90- 6 Residuals VIStandardized residuals ## Call: ## lm (formula = mass_total ## ## Residuals: ## Min 1Q Median 3Q Max ## -61.152 -5.489 -1.008 5.942 39.578 ## ## Coefficients: ## ## (Intercept) 139.46890 ## distance -0.30582 ## ## Signif. codes: 0 '*** 0.001 '**' 0.01 '*' 0.05 ¹.0.1 ' ' 1 ## 20 -20 -40 -60 2.0 1.5 1.0 0.5 0.0 ## Residual standard error: 13.4 on 198 degrees of freedom ## Multiple R-squared: 0.4479, Adjusted R-squared: 0.4451 ## F-statistic: 160.6 on 1 and 198 DF, p-value: < 2.2e-16 100 100 Residuals vs Fitted 50 Fitted values Estimate Std. Error t value Pr(>|t|) 1.85269 75.28 <2e-16 *** 0.02413 -12.68 <2e-16 *** Scale-Location ~ 20 110 120 130 140 Fitted values distance distance, data = dat) 110 120 130 140 Standardized residuals Standardized residuals 100 0 -4 2024 45 Q-Q Residuals T -3 -2 -1 0 1 2 3 Theoretical Quantiles Residuals vs Leverage --- Cook's dist45ce 0.000 0.005 69 0.010 0.015 Leverage
A honours student was analyzing their data concerning the total mass of song sparrows in a given nest (in grams) as a function of the distance of the nest to the nearest a food source (in meters). They generated the following diagnostic plots and regression results: mass_total ## # 180- 150- 90- 6 Residuals VIStandardized residuals ## Call: ## lm (formula = mass_total ## ## Residuals: ## Min 1Q Median 3Q Max ## -61.152 -5.489 -1.008 5.942 39.578 ## ## Coefficients: ## ## (Intercept) 139.46890 ## distance -0.30582 ## ## Signif. codes: 0 '*** 0.001 '**' 0.01 '*' 0.05 ¹.0.1 ' ' 1 ## 20 -20 -40 -60 2.0 1.5 1.0 0.5 0.0 ## Residual standard error: 13.4 on 198 degrees of freedom ## Multiple R-squared: 0.4479, Adjusted R-squared: 0.4451 ## F-statistic: 160.6 on 1 and 198 DF, p-value: < 2.2e-16 100 100 Residuals vs Fitted 50 Fitted values Estimate Std. Error t value Pr(>|t|) 1.85269 75.28 <2e-16 *** 0.02413 -12.68 <2e-16 *** Scale-Location ~ 20 110 120 130 140 Fitted values distance distance, data = dat) 110 120 130 140 Standardized residuals Standardized residuals 100 0 -4 2024 45 Q-Q Residuals T -3 -2 -1 0 1 2 3 Theoretical Quantiles Residuals vs Leverage --- Cook's dist45ce 0.000 0.005 69 0.010 0.015 Leverage
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
URGENT PLEASE ANSWER ASAP
What is the predicted total mass for the nestlings in a nest in which the closest food source is 100m away?
Transcribed Image Text:A honours student was analyzing their data concerning the total mass of song
sparrows in a given nest (in grams) as a function of the distance of the nest to the
nearest a food source (in meters). They generated the following diagnostic plots and
regression results:
mass_total
180-
150-
120-
90-
##
## Call:
## lm (formula = mass_total
Residuals
VIStandardized residuals
##
## Residuals:
##
Min
1Q Median
3Q
Max
## -61.152 -5.489 -1.008 5.942 39.578
##
## Coefficients:
##
## (Intercept)
## distance
## ---
## Signif. codes: 0 '***' 0.001
0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1'' 1
##
40
20
0
-20
-40
-60
2.0
1.5
1.0
0.5
0.0
## Residual standard error: 13.4 on 198 degrees of freedom
## Multiple R-squared: 0.4479, Adjusted R-squared: 0.4451
## F-statistic: 160.6 on 1 and 198 DF, p-value: < 2.2e-16
100
TTTT
Residuals vs Fitted
Estimate Std. Error t value Pr(>|t|)
139.46890
-0.30582
Fitted values
100 110
Scale-Location
50
450
110 120 130 140
120
Fitted values.
distance
distance, data = dat)
45€
1.85269 75.28
<2e-16 ***
0.02413 -12.68 <2e-16 ***
130 140
Standardized residuals
Standardized residuals
100
NON
-2
-4
NONT
45
Q-Q Residuals
T T
-3 -2 -1 0 1 2 3
Theoretical Quantiles
Residuals vs Leverage
Cook's distaste
0.000 0.005
69
119
0.010 0.015
Leverage
..
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman