Correlation and Causation
Correlation
A relationship between two variables.
Correlation is an association and does not imply causation (which exists if the independent variable is known to change the values of the dependent variable)
Positive correlation
Exists when an increase in one variable is accompanied by an increase in the other variable
Negative correlation
Exists when an increase in one variable is accompanied by a decrease in the other variable
Correlation
Strength of correlation is proportional to spread of values from line of best fit.
Strong positive correlation
Weak negative correlation
No correlation
Qualitative versus Quantitative data
Qualitative
The values collected do not imply a numerical order or range of effect.
e.g. the iodine solution test for starch is an example of the generation of qualitative data: starch either is present or it is not present.
What type of graph would be used to show this?
Quantitative
The values collected indicate a numerical value, e.g. 10cm3 of O2 is produce per minute with 0.1% catalase whereas 1cm3 is liberated per minute with 0.01% catalase.
What type of graph would be used to show this?