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Consider the following data: number of gallons processed/percent of Lead removed:

(25/85, 26/87, 73/86, 75/88, 123/90, 126/87, 175/92, 177/94.

It is the gallons of water processed at a plant, and the amount of lead removed from the water.

A. Make a scatterplot to determine what kind of relationship there seems to be between the two variables. Use the percent of lead removed as the response variable.

B. Fit a linear regeression model to the data, and fit a quadratic model to the data. What measure can be used to determine which of these two models (linear or quadratic) will give the better prediction? Be sure to report the measure for both models.

C. make a residual plot. Does it indicate a linear model is appropriate?

D. Test the data for outliers using the model you determined was best from part (b). If there are any outlying points list them.

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Statistics and Probability, Statistics

Category:- Statistics and Probability
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