Answer:
The answer is cooperation
thank you
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:
<em>here ya goo</em>
Explanation:
<em>Risk factor: Something that increases a person's chances of developing a disease. For example, cigarette smoking is a risk factor for lung cancer, and obesity is a risk factor for heart disease.</em>
<em>Uncontrollable risk example:</em>
<em>Gender (men develop CAD 10 years earlier than women)</em>
Answer:
Is there anything i can read and understand? just reply me if you have
Explanation:
