An article gave a scatter plot along with the least squares line of x = rainfall volume (m³) and y = runoff volume (m³) for a particular location. The accompanying values were read from the plot. 6 12 14 19 23 30 40 49 55 67 72 81 96 112 127 y 4 10 13 15 15 25 27 48 38 46 53 71 82 99 103 USE SALT (a) Does a scatter plot of the data support the use of the simple linear regression model? O Yes, the scatterplot shows reasonable linear relationship. O Yes, the scatterplot shows a random scattering with no pattern. O No, the scatterplot shows a reasonable linear relationship. O No, the scatterplot shows a random scattering with no pattern. (b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.) slope intercept (c) Calculate a point estimate of the true average runoff volume when rainfall volume is 47. (Round your answer to four decimal places.) m³ (d) Calculate a point estimate of the standard deviation o. (Round your answer to two decimal places.) m³ (e) What proportion of the observed variation in runoff volume can be attributed to the simple linear regression relationship between runoff and rainfall? (Round your answer to four decimal places.)

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

Q1

### Educational Resource: Linear Regression Analysis

#### Introduction
An article provided a scatter plot along with the least squares line of \( x = \) rainfall volume (\( \text{m}^3 \)) and \( y = \) runoff volume (\( \text{m}^3 \)) for a specific location. The following values were read from the plot:

| \( x \) | 6 | 12 | 14 | 19 | 23 | 30 | 40 | 49 | 55 | 57 | 72 | 81 | 96 | 112 | 127 |
| -------|---|----|----|----|----|----|----|----|----|----|----|----|----|----|-----|
| \( y \) | 4 | 10 | 13 | 15 | 15 | 27 | 28 | 48 | 46 | 53 | 71 | 82 | 99 | 103 | 93 |

#### Graphs and Diagrams
The scatter plot is not visually provided, but it is implied to demonstrate the relationship between rainfall volume and runoff volume.

### Questions and Solutions

**(a) Does a scatter plot of the data support the use of the simple linear regression model?**
- ☐ Yes, the scatterplot shows a reasonable linear relationship.
- ☐ Yes, the scatterplot shows a random scattering with no pattern.
- ☐ No, the scatterplot shows a reasonable linear relationship.
- ☐ No, the scatterplot shows a random scattering with no pattern.

**(b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.)**
- Slope: _______________
- Intercept: _______________

**(c) Calculate a point estimate of the true average runoff volume when rainfall volume is \( 47 \). (Round your answer to four decimal places.)**
- _______________ \( \text{m}^3 \)

**(d) Calculate a point estimate of the standard deviation \( \sigma \). (Round your answer to two decimal places.)**
- _______________ \( \text{m}^3 \)

**(e) What proportion of the observed variation in runoff volume can be attributed to the simple linear regression relationship between runoff and rainfall? (Round your answer to four decimal places.)**
- _______________

### Instructions
Transcribed Image Text:### Educational Resource: Linear Regression Analysis #### Introduction An article provided a scatter plot along with the least squares line of \( x = \) rainfall volume (\( \text{m}^3 \)) and \( y = \) runoff volume (\( \text{m}^3 \)) for a specific location. The following values were read from the plot: | \( x \) | 6 | 12 | 14 | 19 | 23 | 30 | 40 | 49 | 55 | 57 | 72 | 81 | 96 | 112 | 127 | | -------|---|----|----|----|----|----|----|----|----|----|----|----|----|----|-----| | \( y \) | 4 | 10 | 13 | 15 | 15 | 27 | 28 | 48 | 46 | 53 | 71 | 82 | 99 | 103 | 93 | #### Graphs and Diagrams The scatter plot is not visually provided, but it is implied to demonstrate the relationship between rainfall volume and runoff volume. ### Questions and Solutions **(a) Does a scatter plot of the data support the use of the simple linear regression model?** - ☐ Yes, the scatterplot shows a reasonable linear relationship. - ☐ Yes, the scatterplot shows a random scattering with no pattern. - ☐ No, the scatterplot shows a reasonable linear relationship. - ☐ No, the scatterplot shows a random scattering with no pattern. **(b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.)** - Slope: _______________ - Intercept: _______________ **(c) Calculate a point estimate of the true average runoff volume when rainfall volume is \( 47 \). (Round your answer to four decimal places.)** - _______________ \( \text{m}^3 \) **(d) Calculate a point estimate of the standard deviation \( \sigma \). (Round your answer to two decimal places.)** - _______________ \( \text{m}^3 \) **(e) What proportion of the observed variation in runoff volume can be attributed to the simple linear regression relationship between runoff and rainfall? (Round your answer to four decimal places.)** - _______________ ### Instructions
Expert Solution
steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
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