1) Is a regression model appropriate for these data? Explain. 2) What interpretation (if any) can you give for the R in the regression table? 3) Write the equation for the line of regression for predicting acres per fire from years since 1985.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Continuing the from Question #9, here's a regression that examines the trend in Acres per Fire.
Acres
10000000
Residuals vs. year since 85
Residuals
8000000
2000000
Dependent variable is Acres/Fire
36.6%
20.52
R-squared
6000000
5.
Variable
Coefficient
-3941
Intercept
Years since 1985
400
0000
-2000000
1.997
2000000
-4000000,
10
20
25
10
15
20
25
year since 85
1) Is a regression model appropriate for these data? Explain.
2) What interpretation (if any) can you give for the R 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?
II
Transcribed Image Text:POSSIBLE Continuing the from Question #9, here's a regression that examines the trend in Acres per Fire. Acres 10000000 Residuals vs. year since 85 Residuals 8000000 2000000 Dependent variable is Acres/Fire 36.6% 20.52 R-squared 6000000 5. Variable Coefficient -3941 Intercept Years since 1985 400 0000 -2000000 1.997 2000000 -4000000, 10 20 25 10 15 20 25 year since 85 1) Is a regression model appropriate for these data? Explain. 2) What interpretation (if any) can you give for the R 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? II
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