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Answer:
Similar to the case in the ordinary linear regression, spatial autocorrelation can invalidate the standard assumption of homoscedasticity of the disturbances and mislead the results of statistical inference. Therefore, developing some statistical methods to test for spatial autocorrelation is a very important issue.
Explanation:
(Q1)
Forests throughout the world are shrinking because lots of things need wood to be made and or work. To get wood for needed or necessary things, people have to cut the trees down.
(Q2)
I think that we could have a few days out of the year where almost everyone/everyone who wants to attend can go around and plant some trees. This would help because the seeds would grow and create more trees so we could have a never ending cycle of growing trees.
Hope this helped!
This is an example of a closed system
<span>friends and relative had not seen each other for 30 years since the wall was put in place.
-The fall of the Berlin wall was the first step to the reunification of Germany</span>