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.
<span>I have to talk to you. I appreciate your humor but lately you've really been putting me down in front of my friends, and it's been bothering me. I know you don't mean it, but you've been hurting my feelings and making me feel insignificant in front of my friends. Do you think you can try not to do that anymore?</span>
Eating breakfast helps boost metabolism because it gives you energy
Interventions that the nurse could give to the sleepy newborn in order for the baby to receive adequate nutrition are; the nurse should rub or massage the newborn's back or parts such as the hands and feet, applying cool cloth on the face of the baby is also essential, unwrapping the cloth that is surrounded on the new born, turning the newborn from side to side and to change the newborn's diaper. These will help the newborn receive adequate nutrition in a state where he or she is sleepy.
Changes in the force of contraction of the heart
