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Statistics of Obese Patients - Essay Example

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Summary
The essay "Statistics of Obese Patients" focuses on the critical analysis of the major issues in the statistics of obese patients. As described in the case study, there are 35 obese patients with a certain triglyceride level. Their weights and triglyceride levels are recorded at the initial phase…
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Statistics of Obese Patients
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From this table, we can fathom that almost every patient who has lost weight has also experienced a decline in triglyceride level, therefore, there can be a relationship between weight and triglyceride level.

The above scatter diagram shows that there can be a relationship between the change in triglyceride level and the change in weight because the data reveals that there is only a single outlier (1.5, 349).

The straight-line regression model should be used with utmost caution when predicting future values. The linear regression model assumes that the data points are scattered around a straight line but unfortunately, there are certain cases in which data points may be scattered around a curve and they can be fitted by the straight line model. This can be a ghastly mistake and it can have profound consequences. For the above scenario, if we predict the change in the triglyceride level of a patient with a loss of 10 kg in weight then this can be a case of extrapolation. By extrapolation, it means that one can not use the regression equation to make predictions for x-values that are outside the range of the x-values in the sample data. Since the x-values in the sample data are limited to (-9.6 kg) therefore it is not viable to predict (-10 kg).

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