Answer:
1) I'm sorry but I am going to have to say no. I want to have good grades and I don't want to fail. I also don't want my teeth to fall out.
2) Yay for you! I am so glad you are better! I hope you are okay, and if you need someone to talk to, here I am!
3) Tobacco could give you bad breath and make your teeth decay and turn black. Alcohol messes up your brain, and you could not think straight. Drugs could make you sick and barf. All of these substances are addictive and they could hurt you bad. most of them could even give you cancer, and many you can not back up from.
there you go
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.
Yes because you have sudden or weakness of facevarm or leg mostly in the side of the body
The answer is: "social epidemiology" .
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" <u> Social epidemiology </u> i<span>s the study of the causes and distribution of health, disease, and impairment throughout a population."
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The answer is oxygenated.
