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Suppose that you work for conservation of natural areas at the Bureau of Land Management. Your section concerns the effect of wildfire on natural areas.

Suppose that you work for conservation of natural areas at the Bureau of Land Management. Your section concerns the effect of wildfire on natural areas. Your supervisor asked you to analyze a temporal trend in wildfire. In particular, she is interested in the following associations:

1. Is the number of wildfires per year increased?

2. Is the total burned area (in acre) per year increased?

3. Is the burned area (in acre) per fire increased?

The accompanied data file contains the number of wildfires, total burned area, and burned area per fire in the U.S. from 2000 to 2019. Refer to Correlations and Regressions in JMP Learning Library.

Question 1. Using JMP, create three scatter plots which show each association (year and number of wildfires, year and total burned area, and year and burned area per fire). Clearly label the graphs. Note that year should be on the x-axis. Attach the scatterplot to this report. Refer to the textbook 12.2. (15%)

Question 2. Using the scatter plot created in Question 1, perform visual assessments. Describe the trend, strength, and shape of each association. Refer to the textbook 12.2. (15%)

Association between year and number of wildfires:

Association between year and total burned area:

Association between year and burned area per fire:

Question 3. Using JMP, calculate correlation coefficient (r) and coefficient of determination (r2) for each association and determine the values in the below table. Refer to the textbook 12.3. (15%) Variables

Correlation coefficient (r)

Coefficient of determination (r2)

Year and number of wildfires

Year and total burned area

Year and burned area per fire

Data

Date

Number of Fires

Acres Burned

Acres Burned per Fire

2000

9,135

606,869

66.4

2001

6,961

367,544

52.8

2002

13,942

1,702,508

122.1

2003

5,744

361,081

62.9

2004

6,554

1,142,287

174.3

2005

4,684

1,331,249

284.2

2006

15,403

1,196,351

77.7

2007

9,654

502,835

52.1

2008

9,536

672,117

70.5

2009

6,614

493,268

74.6

2010

4,027

812,459

201.8

2011

6,567

1,345,060

204.8

2012

5,415

1,363,293

251.8

2013

4,046

1,252,719

309.6

2014

4,463

172,860

38.7

2015

6,430

1,868,614

290.6

2016

5,230

526,926

100.8

2017

5,336

600,373

112.5

2018

5,112

812,501

158.9

2019

5,657

1,331,968

235.5

2020

5,939

1,035,963

174.4

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