1) Curve fitting Data from an experiment to estimate a spring constant k. The mass measured in grams is added to the spring and the displacement is measured in mm. k=m*g/8 m(g) 8(mm) 15.5 5.00 F=k* 8 10.00 33.07 20.00 53.39 50.00 100.00 140.24 301.03 Fit a straight line to the data and determine the Spring Constant “k”.
1) Curve fitting Data from an experiment to estimate a spring constant k. The mass measured in grams is added to the spring and the displacement is measured in mm. k=m*g/8 m(g) 8(mm) 15.5 5.00 F=k* 8 10.00 33.07 20.00 53.39 50.00 100.00 140.24 301.03 Fit a straight line to the data and determine the Spring Constant “k”.
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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In matlab code
![### Curve Fitting
**Objective:**
This experiment is designed to estimate a spring constant, denoted as \( k \).
**Method:**
A mass, measured in grams, is added to a spring, and the resulting displacement is measured in millimeters (mm).
**Formulas:**
- The force \( F \) applied to the spring is given by the formula:
\[
F = k \times \delta
\]
- Solving for the spring constant \( k \), we have:
\[
k = \frac{m \times g}{\delta}
\]
**Data Table:**
| Mass \( m \) (g) | Displacement \( \delta \) (mm) |
|------------------|-------------------------------|
| 5.00 | 15.5 |
| 10.00 | 33.07 |
| 20.00 | 53.39 |
| 50.00 | 140.24 |
| 100.00 | 301.03 |
**Instructions:**
- Fit a straight line to this data.
- Determine the spring constant \( k \) from the slope of this line.
### Explanation:
The data provided consist of different masses applied to a spring and corresponding displacements measured. The goal is to fit these data points with a linear model to find the spring constant, which describes the stiffness of the spring. The relationship between the force applied and displacement allows determination of \( k \) as per Hooke's law, using the linear trend observed from the data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd30ea730-ba6b-4d49-90df-80ffc6e77ea4%2Fe930f07d-b67e-4266-8ed0-d0208433947c%2Fyj15esk_processed.png&w=3840&q=75)
Transcribed Image Text:### Curve Fitting
**Objective:**
This experiment is designed to estimate a spring constant, denoted as \( k \).
**Method:**
A mass, measured in grams, is added to a spring, and the resulting displacement is measured in millimeters (mm).
**Formulas:**
- The force \( F \) applied to the spring is given by the formula:
\[
F = k \times \delta
\]
- Solving for the spring constant \( k \), we have:
\[
k = \frac{m \times g}{\delta}
\]
**Data Table:**
| Mass \( m \) (g) | Displacement \( \delta \) (mm) |
|------------------|-------------------------------|
| 5.00 | 15.5 |
| 10.00 | 33.07 |
| 20.00 | 53.39 |
| 50.00 | 140.24 |
| 100.00 | 301.03 |
**Instructions:**
- Fit a straight line to this data.
- Determine the spring constant \( k \) from the slope of this line.
### Explanation:
The data provided consist of different masses applied to a spring and corresponding displacements measured. The goal is to fit these data points with a linear model to find the spring constant, which describes the stiffness of the spring. The relationship between the force applied and displacement allows determination of \( k \) as per Hooke's law, using the linear trend observed from the data.
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