1. earthquake measures
2. b
3. seismograph
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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Answer:
1: sustainability is an avoidance of the depletion of natural resources in order to maintain an ecological balance.
2: Sustainability means meeting our own needs without compromising the ability of future generations to meet their own needs.
Explanation:
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False
The gravitation on earth is 6times than that of moon

Hence the object which weighs 2N on earth will weigh 2/6=0.33N on moon
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