The boiling point of water is c. 100 degrees
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.
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The correct answer should be<span> D) conserving natural resources without harming the environment
Instead of using new resources, you can use the waste from previous production and recycle it for the sake of creating something else, which preserves the resoruces and doesn't harm the environment.</span>
Answer:
Sphingolipids
Explanation:
They are derived from aliphatic amino alcohol sphingosine and functions in protecting the nerves in the central nervous system. Sphingolipids includes group of lipids called glycolipids and sphingomyelin. Just like phospholipids they have polar heads and two non-polar tails together with proteins, forms a myelin sheath. They insulate the nerves and causes quick transmission of electrical impulse amongst organs contributing to normal bodily functions.
