Is dotted line a "good fit" to the data in the following graph? [There are 2 correct answers] y-0.0002 - 0.0132x* + 0.2675x - 2.3324 + 10.268x - 6.1317 R0.9963 Good Fit? O No. None of the coeffiecients in the fit are approximatly equal to simple numbers like 3 or 1/2. Yes. The R^2 value is approximately 1. Yes, because the fit is a polynomial of order 5, it will always be a better fit than a linear trend line. O No. The R^2 value is so high because the polynomial goes all the way to 5. O No. The fit should smooth out the bumps coming from uncertainty, not curve to fit every point perfectly. O Yes. The data points have error bars and the line goes through them.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
icon
Concept explainers
Question

Explain everything

Is dotted line a "good fit" to the data in the following graph? [There are 2 correct answers]
y-0.0002 - 0.0132x* + 0.2675x - 2.3324 + 10.268x - 6.1317
R0.9963
Good Fit?
O No. None of the coeffiecients in the fit are approximatly equal to simple numbers like 3 or 1/2.
Yes. The R^2 value is approximately 1.
Yes, because the fit is a polynomial of order 5, it will always be a better fit than a linear trend line.
O No. The R^2 value is so high because the polynomial goes all the way to 5.
O No. The fit should smooth out the bumps coming from uncertainty, not curve to fit every point perfectly.
O Yes. The data points have error bars and the line goes through them.
Transcribed Image Text:Is dotted line a "good fit" to the data in the following graph? [There are 2 correct answers] y-0.0002 - 0.0132x* + 0.2675x - 2.3324 + 10.268x - 6.1317 R0.9963 Good Fit? O No. None of the coeffiecients in the fit are approximatly equal to simple numbers like 3 or 1/2. Yes. The R^2 value is approximately 1. Yes, because the fit is a polynomial of order 5, it will always be a better fit than a linear trend line. O No. The R^2 value is so high because the polynomial goes all the way to 5. O No. The fit should smooth out the bumps coming from uncertainty, not curve to fit every point perfectly. O Yes. The data points have error bars and the line goes through them.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

Blurred answer
Knowledge Booster
Points, Lines and Planes
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, advanced-math and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,