Answer:
1. an eclipse of the Sun
2. state (phase) of matter
3. 5.0 g/cm3
Explanation:
1. Eclipse of the sun occurs when the planetary bodies align in such a way that causes the moon to block sunlight from reaching the Earth. The eclipse of the Sun will be the most predictable occurrence because it follows a pattern of occurrence. Eclipse of the sun occurs after a specific period of time, hence, based on this, scientists can predict that when it will occur next using its previous pattern of occurrence.
2. Considering the following groups: Group A: water, aluminum, water vapor
Group B: gasoline, ice, air
Group C: alcohol, iron, oxygen
One would realize that each constituent of each group exists in a particular state of matter. For example, in group B, gasoline is a liquid, ice is a solid while air is a gaseous mixture. Same applies for group A and C where water and alcohol are liquids, iron and aluminum are solids, while water vapor and oxygen are gases.
This shows that the STATE (PHASE) OF MATTER was the basis of classification.
3.
<span>The nucleus best shows that eukaryotes and prokaryotes have different functions.</span>
Most of it follows its cycle, going back to the atmosphere.
The image below, shows you how the nitrogen cycle is.
Hope it helped,
Happy homework/ study/ exam!
According to the research, the linear vein is a tributary blood vessel of the hepatic portal vein.
<h3>What is the hepatic portal vein?</h3>
It is a blood vessel that carries deoxygenated blood from the digestive organs and the spleen to the liver.
The linear vein is one of the branches of the celiac trunk that supplies the spleen and gives off branches to the stomach and pancreas.
Therefore, we can conclude that according to the research, the linear vein is a tributary blood vessel of the hepatic portal vein.
Learn more about the hepatic portal vein here: brainly.com/question/15511202
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Resulting factors are called Second-order factors
<h3>
What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
To Learn more about factor analysis from the given link
brainly.com/question/26561565
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