GGRA30H3 Lecture Notes - Lecture 4: Epicenter, Simple Linear Regression, Scatter Plot
Document Summary
Detecting cause will allow prediction of the effect. Correlation (two variables measured together in a setting) (no control group, no random assignments) (people assume that one of the variables cause" another. ) (e. g. correlation study marriage and drug use ) (example: marriage and drug use) A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. Causation indicates that one event is the result of the occurrence of the other event; i. e. there is a causal relationship between the two events. Cause and effects (john snow) it was not until 1854 that the physician. John snow (1813-1858) made a major contribution to fighting cholera when he was able to demonstrate a link between cholera and the contaminated drinking water through his pioneering studies. John snow was born in york on 15 march 1813.
