Correlation

Correlations - Investigating whether there are relationships between two co-variables

Positive correlation - This would mean that as one co-variable increases, the other co-variable also increases too, vice versa. 

Negative correlation - This would mean that as one co-variable increases, the other co-variable decreases, vice versa. 

No correlation - This would mean that there is no definite trend between the two co-variables.

Two-tailed correlational hypothesis - Predicting that there would be a significant correlation but not which direction it goes in. E.g. There will be a significant correlation between co-variables y and z.

One-tailed correlational hypothesis - Predicting that there will be a significant correlation in a particular direction. E.g. There will be a significant postitive/negative correlation between co-variables y and z.

Correlations are usually primary data

Ethics - Consent is needed by the participants to avoid deceiving them and then able them to withdraw if they would like to.

Graphs - Data can be shown in a scatter graph, each cross represents a different pair of values.