Answer:
Option (C)
Explanation:
CO₂ is one of the main green house gases on earth. A small increase in its concentration can lead to significant changes on earth. When the incoming solar radiations are incident on the earth's surface, some of the energy is absorbed by the atmosphere and the earth's surface. And some of the energy from the land surface after absorption is released into the atmosphere in the form of infrared radiations. The escaping of these radiations from earth is directly dependent on the concentration of CO₂. An increase in the amount of CO₂ will not allow these IR radiations to be removed, and this will result in the global rising of the temperature, leading to catastrophic changes.
Thus, the correct answer is option (C).
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:
