Comment on the effect the difference subsets might One factor that may influence the relationship between have on the model. Haematocrit levels and Red Blood count is the gender of / Comment on the number of points now being the athlete. investigated. For these reasons the data will be split into these two subsets groups: Extend the investigation by developing models with groups and reanalysed. If data that has been separated into relevant subsets. As can be seen in the graph above… Prediction made using alternative models Compare and contrast original prediction with updated Consider accuracy of these alternative models (unusual value OR subset /group). Compare with original prediction Re-predict I understand… I need to work on… Conclusion Exemplar statements This report investigated whether a relationship exists between the Give concise summary linked to original Haematocrit levels and red blood cells for 120 athletes from the purpose of the investigation AIS. Purpose of report Analysis of the data showed a moderate-to-strong linear Brief description of model, including trend, relationship between Haematocrit levels and red blood cells. Summary strength and numeric. This relationship showed that Red Cell Counts increase by 0.1 for each increase by 1 in Haematocrit value. This model was then used to predict the Red Blood Cell Count for What the model predicted an athlete with a Haematocrit level of 50. The Red Blood Count Link to context was predicted to be… This means… Accuracy of prediction This prediction is likely to be accurate because… Prediction Summary of investigation into other relevant variable A further variable that was investigated was… Summary of what this means in context / Possible limitations of this model include… research / future investigations These findings may be useful because… Extension Usefulness / Limitations / Improvements / Possible uses / Future Investigations I understand… I need to work on…
If subsets / groups: Comment on the effect the difference subsets might have on the model. Comment on the number of points now being investigated. Extend the investigation by developing models with data that has been separated into relevant subsets. One factor that may influence the relationship between Haematocrit levels and Red Blood count is the gender of the athlete. For these reasons the data will be split into these two groups and reanalysed. As can be seen in the graph above… Re-predict Prediction made using alternative models Consider accuracy of these alternative models Compare with original prediction Compare and contrast original prediction with updated (unusual value OR subset /group). I understand… I need to work on… Conclusion Exemplar statements Summary Give concise summary linked to original purpose of the investigation Purpose of report Brief description of model, including trend, strength and numeric. This report investigated whether a relationship exists between the Haematocrit levels and red blood cells for 120 athletes from the AIS. Analysis of the data showed a moderate-to-strong linear relationship between Haematocrit levels and red blood cells. This relationship showed that Red Cell Counts increase by 0.1 for each increase by 1 in Haematocrit value. Prediction What the model predicted Link to context Accuracy of prediction This model was then used to predict the Red Blood Cell Count for an athlete with a Haematocrit level of 50. The Red Blood Count was predicted to be… This means… This prediction is likely to be accurate because… Extension Summary of investigation into other relevant variable Summary of what this means in context / research / future investigations Usefulness / Limitations / Improvements / Possible uses / Future Investigations A further variable that was investigated was… Possible limitations of this model include… These findings may be useful because… I understand… I need to work on…
Bivariate-Data-Report-Writing.docx