A BIO4158 student was analyzing a dataset of 61 observations for a laboratory assignment and generated the following plots and regression results: 100-
A BIO4158 student was analyzing a dataset of 61 observations for a laboratory assignment and generated the following plots and regression results: 100-
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. THIS IS NOT A GRADED QUESTION.
Identify five numbers that are clearly incorrect and explain why each number is wrong. Assume the plots are correct.
![A BIO4158 student was analyzing a dataset of 61 observations for a laboratory
assignment and generated the following plots and regression results:
100-
75-
X
50-
25-
Call:
lm (formula = yx, data = err)
Residuals:
Min
0-
1Q Median
3Q
-17.262 -8.592 -1.282 7.301
Coefficients:
(Intercept)
X
Estimate Std.
3.248
-1.231
50
Analysis of Variance Table
Response: y
Max
20.575
75
Error t value Pr(>|t|)
2.786 -1.166
0.249
0.048 25.651
0.048 ***
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05
. 0.1
Residual standard error: 10.09 on 59 degrees of freedom
Multiple R-squared: 0.9307, Adjusted R-squared:
Df Sum Sq Mean Sq F value Pr (>F)
1 66988 66988 57.95 < 2.2e-16 ***
Residuals 50 4989
102
0.9293
I
1
Signif. codes: 0 '*** 0.001 '**' 0.01 '*' 0.05 '. 0.1
When grading this assignment, the TA gave the student a mark of zero, claiming five
of the numbers in their output were impossible.
1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6f01df11-7490-4fa9-9e51-6ea6d2a32aad%2F0640c962-16e0-4a74-b181-f16f2001aadc%2Fneqn2u_processed.png&w=3840&q=75)
Transcribed Image Text:A BIO4158 student was analyzing a dataset of 61 observations for a laboratory
assignment and generated the following plots and regression results:
100-
75-
X
50-
25-
Call:
lm (formula = yx, data = err)
Residuals:
Min
0-
1Q Median
3Q
-17.262 -8.592 -1.282 7.301
Coefficients:
(Intercept)
X
Estimate Std.
3.248
-1.231
50
Analysis of Variance Table
Response: y
Max
20.575
75
Error t value Pr(>|t|)
2.786 -1.166
0.249
0.048 25.651
0.048 ***
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05
. 0.1
Residual standard error: 10.09 on 59 degrees of freedom
Multiple R-squared: 0.9307, Adjusted R-squared:
Df Sum Sq Mean Sq F value Pr (>F)
1 66988 66988 57.95 < 2.2e-16 ***
Residuals 50 4989
102
0.9293
I
1
Signif. codes: 0 '*** 0.001 '**' 0.01 '*' 0.05 '. 0.1
When grading this assignment, the TA gave the student a mark of zero, claiming five
of the numbers in their output were impossible.
1
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