The right answer is: it affects the excretory function of the organism.
Take the example of chronic kidney disease (CKD).
Each minute, about 1 liter of blood is filtered by the kidney (1/5 of the amount pumped by the heart). Chronic kidney disease (or chronic renal failure) is a serious condition that causes a gradual and irreversible deterioration of the kidneys' ability to filter blood and excrete certain hormones. The excess of water and the waste metabolism products pass less into the urine and accumulate in the body.
<h2>Answer:</h2>
<u>The objects that allow humans to access ground water are:</u>
- <u>A spring</u>
- <u>a well drilled into an aquifer
</u>
- <u>a well drilled below the water table</u>
<h2>Explanation:</h2>
Access to ground water can be gained if we dig a well or use any source that can provide us an access below the water table. A water table is the level below which the ground is saturated with water. So above the saturation level we cannot gain access to water therefore we must go below it. A spring springs from ground below water table and the same thing occurs for well or an aquifer if it is below the water table..
Answer:
A. eukaryotes and heterotrophic
Explanation:
Remember Fungi is not either bacteria or a plant. But we know Fungi has a membrane-bound nucleus that makes it eukaryotic. They obtain material from the enviroment, instead of creating their food, which makes them heterotrophic.
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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