Answer:
The answer is D, Arteriosclerosis
Explanation:
It limits the flow of oxygen-rich blood to your organs and other parts of your body. Hope this helps!
The collision theory in chemistry is used for the prediction of the rates of the chemical reactions, it is mainly used for the calculation of the rate of the chemical reactions occurring in the gaseous state.
The main assumption of this theory is reacting substance (atom or molecule) must come and collide to react and form a product. It was proposed by Max Trautz in the year 1916.
Explanation:
The giant landmass described by Wegener in his continental drift hypothesis has broken down into different slabs and they have moved to new positions. The giant landmass is called Pangaea. Pangaea is a supercontinent believed to have produced the continents today.
- The break up of the supercontinent started about 175million years ago.
- Today, it is understood that the concept of plate tectonics provides an insight into how the supercontinent have broken down and migrated to their present position today.
- Plate tectonics also provides a mechanism that provided motion for the plate.
- Wegener from his observation suggested that the continent could easily fit into a single supercontinent like the pieces of a puzzle.
- He also suggested evidence from across the various continents to back up his claim.
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The answer to this question is Prokaryotes
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
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