4) Predict the acres per fire for a fire occurring in 2025. Is this a reliable prediction? Why or why not?

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
Concept explainers
Question

Please help with no. 4! :/ 

**Regression Analysis of Acres per Fire**

The following is a regression analysis examining the trend in acres per fire over time.

**Graphs:**

1. **Scatter Plot (Left):**
   - **Y-Axis:** Acres
   - **X-Axis:** Years since 1985
   - The plot shows data points scattered, indicating how the number of acres per fire has changed over the years since 1985.

2. **Residual Plot (Right):**
   - **Y-Axis:** Residuals
   - **X-Axis:** Years since 1985
   - This plot displays the residuals from the regression model, showing the deviation of the observed values from the predicted values over time.

**Regression Table:**

- **Dependent Variable:** Acres/Fire
- **R-squared:** 36.6%
- **Standard Deviation (s):** 20.52
- **Coefficients:**
  - **Intercept:** -3941
  - **Years since 1985:** 1.997

**Questions:**

1. **Is a regression model appropriate for these data? Explain.**

2. **What interpretation (if any) can you give for the \( R^2 \) in the regression table?**

3. **Write the equation for the line of regression for predicting acres per fire from years since 1985.**

4. **Predict the acres per fire for a fire occurring in 2025. Is this a reliable prediction? Why or why not?**

5. **What does it mean if the residual for a fire is negative?**

This analysis can be used to understand trends and make predictions regarding the impact of time on the acres affected by fire, providing valuable insights for educational and environmental discussions.
Transcribed Image Text:**Regression Analysis of Acres per Fire** The following is a regression analysis examining the trend in acres per fire over time. **Graphs:** 1. **Scatter Plot (Left):** - **Y-Axis:** Acres - **X-Axis:** Years since 1985 - The plot shows data points scattered, indicating how the number of acres per fire has changed over the years since 1985. 2. **Residual Plot (Right):** - **Y-Axis:** Residuals - **X-Axis:** Years since 1985 - This plot displays the residuals from the regression model, showing the deviation of the observed values from the predicted values over time. **Regression Table:** - **Dependent Variable:** Acres/Fire - **R-squared:** 36.6% - **Standard Deviation (s):** 20.52 - **Coefficients:** - **Intercept:** -3941 - **Years since 1985:** 1.997 **Questions:** 1. **Is a regression model appropriate for these data? Explain.** 2. **What interpretation (if any) can you give for the \( R^2 \) in the regression table?** 3. **Write the equation for the line of regression for predicting acres per fire from years since 1985.** 4. **Predict the acres per fire for a fire occurring in 2025. Is this a reliable prediction? Why or why not?** 5. **What does it mean if the residual for a fire is negative?** This analysis can be used to understand trends and make predictions regarding the impact of time on the acres affected by fire, providing valuable insights for educational and environmental discussions.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Continuous Probability Distribution
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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