Statistics Essay Example | Topics and Well Written Essays - 1250 words

Statistics - Essay Example each 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 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 triglyceride level of a patient with a loss of 10 kg in weight than 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 make a prediction for (-10