6) Find the 95% prediction interval for y ifx = 4 (use the values from numbers 4 and 5)
6) Find the 95% prediction interval for y ifx = 4 (use the values from numbers 4 and 5)
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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#6 please!!!
![Below is the transcription of the text appearing in the image, which presents a set of data and related questions on statistical analysis.
---
### Data Analysis Task
4) **Find the regression line equation for the following data (formula or calculator).**
| X | 2 | 3 | 5 | 6 |
|----|---|---|---|---|
| Y | 5 | 9 | 15| 19|
5) **Find the \( S_e \) for the following data (formula or calculator).**
| X | 2 | 3 | 5 | 6 |
|----|---|---|---|---|
| Y | 5 | 9 | 15| 19|
6) **Find the 95% prediction interval for \( y \) if \( x = 4 \)**
(use the values from numbers 4 and 5)
---
### Explanation of Graphs and Diagrams:
The image contains two sets of data, each represented in a tabular format with two columns labeled "X" and "Y". The task involves performing statistical analysis on these data sets:
1. **Data Set for Regression Line Equation:**
- The table has two rows and four columns for values of \( X \) and \( Y \).
- \( X \) values: 2, 3, 5, and 6.
- \( Y \) values: 5, 9, 15, and 19.
2. **Data Set for Finding \( S_e \) (Standard Error):**
- It is the same as the data set for the regression line equation.
- The table includes two rows and four columns for values of \( X \) and \( Y \).
- \( X \) values: 2, 3, 5, and 6.
- \( Y \) values: 5, 9, 15, and 19.
### Instructions for the Tasks:
- **Regression Line Equation:** The first task is to find the equation of the regression line for the data provided, either using a formula or a calculator.
- **Standard Error \( S_e \):** The second task is to calculate the standard error \( S_e \) using the given data, either through a formula or a calculator.
- **Prediction Interval:** The third task is to determine the 95%](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F01d6fa01-00e4-4cca-b72c-0ebcc6b8bb40%2Fc607695e-609e-4247-9234-45e746036764%2Fihbigrj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Below is the transcription of the text appearing in the image, which presents a set of data and related questions on statistical analysis.
---
### Data Analysis Task
4) **Find the regression line equation for the following data (formula or calculator).**
| X | 2 | 3 | 5 | 6 |
|----|---|---|---|---|
| Y | 5 | 9 | 15| 19|
5) **Find the \( S_e \) for the following data (formula or calculator).**
| X | 2 | 3 | 5 | 6 |
|----|---|---|---|---|
| Y | 5 | 9 | 15| 19|
6) **Find the 95% prediction interval for \( y \) if \( x = 4 \)**
(use the values from numbers 4 and 5)
---
### Explanation of Graphs and Diagrams:
The image contains two sets of data, each represented in a tabular format with two columns labeled "X" and "Y". The task involves performing statistical analysis on these data sets:
1. **Data Set for Regression Line Equation:**
- The table has two rows and four columns for values of \( X \) and \( Y \).
- \( X \) values: 2, 3, 5, and 6.
- \( Y \) values: 5, 9, 15, and 19.
2. **Data Set for Finding \( S_e \) (Standard Error):**
- It is the same as the data set for the regression line equation.
- The table includes two rows and four columns for values of \( X \) and \( Y \).
- \( X \) values: 2, 3, 5, and 6.
- \( Y \) values: 5, 9, 15, and 19.
### Instructions for the Tasks:
- **Regression Line Equation:** The first task is to find the equation of the regression line for the data provided, either using a formula or a calculator.
- **Standard Error \( S_e \):** The second task is to calculate the standard error \( S_e \) using the given data, either through a formula or a calculator.
- **Prediction Interval:** The third task is to determine the 95%
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