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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False biology is about learning the anatomy of plants and humans
Answer:
Homeostasis is the regulation of bodily functions to stay within a certain range.
Answer:
water droplets sticking to a window.
Explanation:
adhesion means sticking to, such as adhesive dressing tape, which is fabric that sticks to itself for injuries.
Answer:
A) tortoiseshell female; black male
Explanation:
Females have two X chromosomes and males have an X and a Y chromosome.
<u>The possible genotypes and phenotypes are</u>:
- XᵒXᵒ: black female
- XᵒY: black male
- XᴼXᴼ: orange female
- XᴼY: orange male
- XᵒXᴼ: tortoiseshell female
<u>Cross of a black female and an orange male</u>
<h3>XᵒXᵒ x XᴼY</h3>
The female only produces Xᵒ gametes. The male produces Xᴼ and Y.
The possible offspring therefore is: XᵒXᴼ (tortoiseshell females) and XᵒY (black males). The answer is A.
