Correlation and regression are methods to check for the strength of association between variables. For example, the relationship between cigarette smoking and lung cancer has long been established as having a high degree of correlation. However, some apparent relationships turn out to be spurious.
Keeping in mind that “correlation is not causation,” descibe an example to the of variables (use numbers, be specific) that have strong correlation—but the apparent relationship is spurious.
Briefly describe how you might avoid drawing the wrong conclusion when encountering such relationships.
