Answer:
+High Blood Pressure.
+Overweight/Obesity.
+Tobacco Use.
+High Cholesterol.
+Diabetes.
+Poor Diet/Nutrition.
+Lack of Physical Activity.
Explanation:
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.
Muscular strength
in case you didn't know the definition of muscular strength, you could use process of elimination. it's not muscular endurance because endurance is testing how long you can do something over a period of time, and the question is asking about all at once. it's not flexibility or body composition because neither are testing how much force your body can exert. that leaves muscular strength.
Answer:
It requires the learner to find similarities and themes in the training material
Explanation:
As defined by Schumaker & Deshler, learning strategy is an individual's way of organizing and using a particular set of skills in order to learn content or accomplish other tasks more effectively and efficiently in school as well as non-academic settings. Organizational learning strategy involves the learner combing through the learning material seeking for similarities. He then uses these similarities to learn about the subject
