correlation

• Correlations are similarities between two categories.
• A mathematical technique, researchers investigate an association between two co-variables.
• Positive correlation is when one variable goes up so does the other.
• Negative correlation is when one variable goes up so does the other.
• None correlation is when there is no relationship between the two.
• Experiment has a direct and deliberate manipulation of the independent variable to measure the dependent variable.
• Evaluations provide insight into relationships of two variables and allow future research.
• Evaluations are quick and inexpensive, using secondary data and quantitative data.
• The maximum value of a correlation co-efficient is 1, indicating how closely co variables are related.
• Limitations of evaluations include not understanding how variables are related, no cause and effect, and the potential for intervening variables such as sleep, mental illness, jobs, and environment.
• Evaluations are possible to do further experiment.
• Correlation does not involve the manipulation of the variables.
• Correlation is not causation.