Use this template as a guide.
Look at all the variables in your dataset.
Select one variable that would be important to someone.
(Research needed here).
Ask yourself if this variable is difficult to measure.
If your answer is YES continue to 5.
If NO, go back to3 and select another variable.
Have a look at the relationships between this variable and the others in the dataset. (Use the PAIRS option in NZGrapher)
Does this variable have a strong relationship with another variable in the dataset?
If your answer is YES continue to 6.
If NO, go back to 3 and select another variable.
Write a purpose statement
Name the source of the dataset and describe the two variables being investigated.
Identify the explanatory and response variables.
Create a scatterplot in NZGrapher (do no add the regression line yet)
Copy into your report.
"Eyeball" your scatterplot and describe features of the graph.
Use TASGU to help you with this.
Add a regression line to your scatterplot and copy into your report.
Describe the relationship between the two variables using:
- the gradient of the regression line.
- correlation coefficient, r.
Make a prediction (or two)
Describe the prediction as an average.
Improve your prediction by estimating the possible range of values that it could be within.
Investigate the effect of outliers and groups on the results above.
Write a conclusion.
Summarise your findings:
- strength and nature of the relationship
- predictions and accuracy of these
- discussions on factors that could affect predictions.
Describe what your findings mean for the purpose of the investigation.