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.
<h2>Attachment enclosed has the Manual Daily Calorie chart sample for the month of September 2018. </h2>
The chart describes the consumption of calories taken each day.
Starting from the daily meal during the day along with calculation of calories, the type and time given over the physical activities, and total calories value added in the day time. All these are mention in the attached chart.
Answer:
Meat, poultry, fish, dry beans and peas, eggs, nuts, and seeds supply many nutrients. These include protein, B vitamins (niacin, thiamin, riboflavin, and B6), vitamin E, iron, zinc, and magnesium. Diets that are high in saturated fats raise “bad” cholesterol levels in the blood.
Explanation:
Hope that helped you!
Answer: False.
Explanation: because that can never happen if you don't drink it all day
