Estimate the regression line for the pollution data of Table

Estimate the regression line for the pollution data of Table 1 using the method of least squares. What is good about the least squares criterion for \"curve fining\" compared to other criterions Use the estimated regression line obtained in part (a) to predict the percent reduction in the chemical oxygen demand when the reduction in the total solids is 30%. Also predict the percent reduction in the total solids when the reduction in the chemical oxygen demand is 45%. |2| f It is important to remember that the values Po and pi obtained in part (a) were based on a given n - 33 sample observations, and are only estimates of true parameters ft, and p(. Hence evaluate the 95 degree / confidence interval for p, (slope coefficient) in the regression line based on the pollution data of Table 1. |4|

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