Using the following information. Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df MS F Regression 1 12,327.52 12,327.52 90.0481 Residual 8 1,094.882 136.8993 Total 9. 13,422.4 What is the standard error of the estimate?
Using the following information. Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df MS F Regression 1 12,327.52 12,327.52 90.0481 Residual 8 1,094.882 136.8993 Total 9. 13,422.4 What is the standard error of the estimate?
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
Transcribed Image Text:### Multiple Choice Question
Please select the correct answer from the options below:
1. **136.8992**
2. **1,094.882**
3. **13,422.4**
4. **11.7004**
Each option is represented with a radio button, allowing you to choose one answer.
![### Linear Regression Coefficients
**Coefficients Table:**
| | Coefficients |
|-------------------|--------------|
| Intercept | -12.8094 |
| Independent Variable | 2.1794 |
### ANOVA Table
**Analysis of Variance (ANOVA):**
| Source | df | SS | MS | F |
|--------------|----|------------|-----------|----------|
| Regression | 1 | 12,327.52 | 12,327.52 | 90.0481 |
| Residual | 8 | 1,094.882 | 136.8993 | |
| Total | 9 | 13,422.4 | | |
### Calculation
**What is the standard error of the estimate?**
To calculate the standard error of the estimate (SEE), use the formula:
\[
\text{SEE} = \sqrt{\frac{\text{Residual SS}}{\text{Residual df}}}
\]
Insert the values from the ANOVA table:
- Residual SS = 1,094.882
- Residual df = 8
\[
\text{SEE} = \sqrt{\frac{1,094.882}{8}}
\]
Calculate the SEE to find the standard error of the estimate.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0ab675ce-2e40-481e-8381-32ae8424bad9%2F3b03cd34-b124-4db3-bc87-43ccb8e6254b%2Fbaejez_processed.png&w=3840&q=75)
Transcribed Image Text:### Linear Regression Coefficients
**Coefficients Table:**
| | Coefficients |
|-------------------|--------------|
| Intercept | -12.8094 |
| Independent Variable | 2.1794 |
### ANOVA Table
**Analysis of Variance (ANOVA):**
| Source | df | SS | MS | F |
|--------------|----|------------|-----------|----------|
| Regression | 1 | 12,327.52 | 12,327.52 | 90.0481 |
| Residual | 8 | 1,094.882 | 136.8993 | |
| Total | 9 | 13,422.4 | | |
### Calculation
**What is the standard error of the estimate?**
To calculate the standard error of the estimate (SEE), use the formula:
\[
\text{SEE} = \sqrt{\frac{\text{Residual SS}}{\text{Residual df}}}
\]
Insert the values from the ANOVA table:
- Residual SS = 1,094.882
- Residual df = 8
\[
\text{SEE} = \sqrt{\frac{1,094.882}{8}}
\]
Calculate the SEE to find the standard error of the estimate.
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