A regression model is to be developed for predicting the ability of soil to absorb chemical contaminants. Ten observatio

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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 = β0 + β1x1 + β2x2 + 𝜖. Some necessary
quantities are: SST=1285.408, (a) Estimate the regression
coefficients in the model specified. (b) What is the predicted
value of the absorption index y when x1 = 200 and x2 = 50? (c) Find
95% confidence intervals on the regression coefficients. (d) Find a
95% confidence interval on mean soil absorption index when x1 = 200
and x2 = 50. (e) Find a 95% prediction interval on the soil
absorption index when x1 = 200 and x2 = 50.
i want all A,B,C,D,CE SOLUTION