• Answer the question you posed in your introduction.

i.e

• • • What kind of relationship did you discover between the two variables?

      • • • Summarise the association according to the regression line gradient.

          • Summarise the strength of the relationship according to the r value.

    • What forecasts (predictions) did you calculate?

    • What does the relationship (and predictions) allow you to infer about the variable in your issue?

• Justify your answer by referring to your findings in your data analysis

Groupings:

Were there any groups and how could this have affected the analysis (effect of groups)

Discuss what happened when the analysis was repeated for separated groups.

Size of data set

Was there enough data to analyse

Is this dataset a sample?

What is the sampling error involved?

Unusual values

Did you have to remove any unusual values that could have affected the results. (refer to outliers)

Discuss what happened when the analysis was repeated for after outliers were removed.

Other models

Were alternative models considered - discuss these.

Examples

• Piece-wise models

• Non-linear-models

Bias

Were there any potential sources of bias in the data (how was it collected?)

Assumptions

Were any assumptions about the data made that could affect the analysis?

Relevance and usefulness - Are your findings going to be useful?