Answer:
a. Variables interact resulting in higher probability of illness.
Explanation:
Causality is the relationship between an event A (the cause) and a second event B (the effect), provided that the second event is a consequence of the first. Causality is logically identified in "if not A, then not B", provided the empirical occurrence of at least one B. The above expression is not strictly equivalent to the expression "if A then B", but this is not that the one usually linked in common sense to the concept of causality. Many causal models are used to explain phenomena, whether in science or common sense. In biological sciences, the use of chance models asserts that variables interact resulting in a higher probability of a disease.
<span>There
will be a 5.0 g of glycogen in a 100 g skeletal muscle after the process called
carbohydrate loading. Carbohydrate loading procedure is a 6-day exercise
protocol that does not require prior exercise.
It also helps in reducing some negative effects linked to the classic
procedure.</span>
For this answer it would be Diffusion.
Answer: The meaning of 2^3 is basically, 2 to the power of three.
Explanation: 2^3= (2x2x2)