Two sets of data that show a relationship is an example of correlation.
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Correlation is the relationship between two sets of data. Correlation in statistics help in determining whether two or more sets of data fluctuate in accordance with one another or not. And if they do, the degree of fluctuation can also be determined and studied.
By determining how one or two variables or data are related to one another, we can understand how to manipulate the values. In correlation, there are following possibilities:
- When one value increases, the other decreased
- When value increases or decreases, the other changes in the same way.
Example of correlation:
The utility of an air-conditioner increases as the temperature in the said area increases.
Answer: Oxygen
Explanation: Photosynthesis is a process by which plants use carbon dioxide, water and sunlight to produce glucose and oxygen.
Photosynthetic reactions are divided into two phases: 1). light dependent reactions and 2). light independent reactions.
1) In light dependent reactions, chlorophyll and other light absorbing pigments absorb light energy and conserve it as ATP and NADPH with the simultaneous liberation of oxygen. This reaction occurs only when plants are illuminated. In light reactions, light energy is used to split water molecules into hydrogen ions and oxygen, the hydrogen ions produced are transferred to NADP+ to form NADPH, ATP is also produced in light dependent reactions.
2) In light independent reactions, ATP and NADPH produced in the light dependent reactions are used to drive the light independent reactions in which ATP and NADPH are used to reduce CO2 to form trioses, starch, sucrose and other products derived from them.
Answer:
Well one of the types of symbiosis is parasitism. Here an example would be a tapeworm (parasite) would live in and feed off a living host (humans in our case)
Explanation:
Answer:
probably because it’s either these 5 things; they want attention, they’re bored and whatever they’re doing is fun, they don’t know what’s annoying and what’s good, it’s none of these things, or its all of these things.
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