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 laboratoryassignment and generated the following plots and regression results:100-75-X50-25-Call:lm (formula = yx, data = err)Residuals:Min0-1Q Median3Q-17.262 -8.592 -1.282 7.301Coefficients:(Intercept)XEstimate Std.3.248-1.23150Analysis of Variance TableResponse: yMax20.57575Error t value Pr(>|t|)2.786 -1.1660.2490.048 25.6510.048 ***Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05. 0.1Residual standard error: 10.09 on 59 degrees of freedomMultiple 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 49891020.9293I1Signif. codes: 0 '*** 0.001 '**' 0.01 '*' 0.05 '. 0.1When grading this assignment, the TA gave the student a mark of zero, claiming fiveof the numbers in their output were impossible.1

Given information: n= 61 observations The scatter plot and the regression result is given.

Answered: A BIO4158 student was analyzing a…

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

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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

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