Progression, regularity, overload, varienty, variance, recovery, balance, specifity, reversability. hope it helped
He is not coming big fella
Answer:
The correlation is more valuable. It can be used to determine the relative strength of a linear relationship.
Explanation:
When you talk about finding a relationship between two quantitative variables such as calories and sugar, then the best that can be used in expressing this relationship is correlation. Correlational research is very useful because it helps in discovering the strength and directions that exist in a relationship between two variables. Although it does not say much about the cause and effect, it is used as a measure of linear relationship between two variables.
Covariance can mainly show the direction between two variables, but cannot be employed when trying to calculate the strength of the relationship between the variables. Correlation coefficient does a better job in measuring the strength of relationships between two quantitative variables.
Answer: I got this same question and I was looking for the answers and could not found it but this I what I put. Food nutrition labeling by the FDA is important because it gives customers the ability to view the ingredients listed and find what they are looking for. For example women need more calcium to prevent brittleness in bones.
Answer: I think I would drop my dog in the pool.
Explanation: Because my dog can swim, and my phone can't. Lol