<span>Cellulose is a lot stronger than starch. Starch is practically
useless
as a material, but celluose is strong enough to make fibers from, and
hence rope, clothing, etc. Cellulose doesn't dissolve in water the way
starch will, and doesn't break down as easily.
</span>Your body contains
enzymes that break starch down into glucose to fuel your body. But
we humans don't have enzymes that can break down cellulose.
<span>c. regular exercise has little impact on maintaining peak performance after age 30</span>
<span>The two populations of donkeys will remain physically identical in both areas.</span>
Answer:
Please find the difference between correlation and causation in the explanation section
Explanation:
Correlation and causation are two mistaken terms during data analysis and conclusion, however, these two terms mean different things.
Correlation shows that two variables relate to one another. In other words, two variables are said to CORRELATE if a relationship exists between them. For example, a correlation exists between sales of radios and sales of batteries because they are related.
On the other hand, causation describes how one variable's action causes an effect in the other variable. In other words, the one variable causes the other. For example, There is causation between sales of radios and sales of batteries if the sales of radio causes the sales of batteries.
The difference between these two is that the correlation of two things does not mean causation. That is, two things might be related but does not cause one another. Note that , sales of radio and batteries in the first example does not mean one causes the other.
