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

Statistics - Essay fabriclingeach patient who has lost weight has also experienced a dec take out in triglyceride aim in that locationfore 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 atomic number 18 scattered around a straight line but unfortunately there are certain baptistrys in which data points may be scattered around a write out and they can be fitted by the straight line model. This can be a ghastly faulting 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 s ample data are limited to (-9.6 kg) thence it is not viable to make a prediction for (-10