Question: A regression model is to be developed for predicting the ability of soil to absorb chemical contaminants. Ten observations have been taken on a soil

A regression model is to be developed for predicting the ability of soil to absorb chemical contaminants. Ten observations have been taken on a soil absorption index (y) and two regressors: x1= amount of extractable iron ore and x2= amount of bauxite. We wish to fit the model Y=0+1x1+2x2+. Some necessary quantities are: (XX)1=1.17991E07.30982E37.30060E47.30982E37.97990E51.23713E47.30060E41.23713E44.65760E4Xy=22036,7689.965 (a) Estimate to 4 decimal places the regression coefficients in the model specified above. ^0=^1= (b) What is the predicted value of the absorption index y when x1=170 and x2=50 ? Round your answer to 2 decimal places. Statistical Tables and Charts

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