Question 3 The following table contains information on the time that each of 10 steel samples were immerssed (in days) in a saline solution and the corrosion rate CR (mmpy) of them after the specified time Time (day) 7 9 11 13 15 17 19 21 23 25 CR (mmpy) 0.22 0.36 0.38 0.45 0.51 0.55 0.56 0.6 0.59 0.7 1- Construct a scatter diagram for these data. Does the scatter diagram exhibit a linear relationship between the ommersion time and the corrosion rate? 2- Find the predictive regression line of CR on time. 3- Give a brief interpretation of the values of a and b calculated in part 2. 4 Plot the predictive regression line on the scatter diagram of part 1, and show the errors by drawing vertical lines between scatter points and the predictive regression line. 5- Calculate the predicted CR for a steel sample that immersed for 14 days in the saline. 6- Calculate the predicted CR for a steel sample that immersed for 14 days in the saline. Comment on this finding.

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
Question
Question 3
The following table contains information on the time that each of 10 steel samples were
immerssed (in days) in a saline solution and the corrosion rate CR (mmpy) of them after the
specified time
Time (day) 7
CR (mmpy) 0.22 0.36 0.38 0.45 0.51 0.55 0.56 0.6
9 11 13 15 17
23 25
0.59 0.7
19 21
1- Construct a scatter diagram for these data. Does the scatter diagram exhibit a linear
relationship between the ommersion time and the corrosion rate?
2- Find the predictive regression line of CR on time.
3- Give a brief interpretation of the values of a and b calculated in part 2.
4 Plot the predictive regression line on the scatter diagram of part 1, and show the errors by
drawing vertical lines between scatter points and the predictive regression line.
5- Calculate the predicted CR for a steel sample that immersed for 14 days in the saline.
6- Calculate the predicted CR for a steel sample that immersed for 14 days in the saline..
Comment on this finding.
Transcribed Image Text:Question 3 The following table contains information on the time that each of 10 steel samples were immerssed (in days) in a saline solution and the corrosion rate CR (mmpy) of them after the specified time Time (day) 7 CR (mmpy) 0.22 0.36 0.38 0.45 0.51 0.55 0.56 0.6 9 11 13 15 17 23 25 0.59 0.7 19 21 1- Construct a scatter diagram for these data. Does the scatter diagram exhibit a linear relationship between the ommersion time and the corrosion rate? 2- Find the predictive regression line of CR on time. 3- Give a brief interpretation of the values of a and b calculated in part 2. 4 Plot the predictive regression line on the scatter diagram of part 1, and show the errors by drawing vertical lines between scatter points and the predictive regression line. 5- Calculate the predicted CR for a steel sample that immersed for 14 days in the saline. 6- Calculate the predicted CR for a steel sample that immersed for 14 days in the saline.. Comment on this finding.
Expert Solution
steps

Step by step

Solved in 4 steps with 2 images

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
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