Can you help me with my questions please
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:
-- One feature of Earth is an atmosphere rich in nitrogen and oxygen.
Very unusual.
-- Another feature of Earth is vast quantities of liquid and solid water.
Very unusual.
-- Another feature of Earth is a range of temperatures near the melting point
of water.
Very unusual.
<span>The angular size of the moon in our sky is almost exactly the same as the angular size of the sun in our sky. This can be seen and noticed during a full eclipse, by some remarkable coincide, the Earth's moon, from our point of view, is at the perfect distance from Earth in relation to the sun, to have almost matching sizes, allowing for the complete blocking of light when the moon and sun align.</span>
