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The Following Data Resulted from an Experiment to Assess the Potential

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The following data resulted from an experiment to assess the potential of unburnt colliery spoil as a medium for plant growth. The variables are x=acid extractable cations and y=exchangeable acidity/total cation exchange capacity. x2351626303852x1.501.461.321.17.96.78.77x58678196100113x.91.78.69.52.48.55\begin{array}{l}\begin{array} { c c c c c c c c } \hline x & - 23 & - 5 & 16 & 26 & 30 & 38 & 52 \\\hline x & 1.50 & 1.46 & 1.32 & 1.17 & .96 & .78 & .77 \\\hline\end{array}\\\\\begin{array} { l l l l l l l } \hline x & 58 & 67 & 81 & 96 & 100 & 113 \\\hline x & .91 & .78 & .69 & .52 & .48 & .55 \\\hline\end{array}\end{array} Standardizing the independent variable x to obtain xt=(xxˉ)/sxx ^ { t } = ( x - \bar { x } ) / s _ { x } and fitting the regression function y=β0+β1xt+β2(xt)2y = \vec { \beta } _ { 0 } + \vec\beta _ { 1 } x ^ { t } + \vec { \beta } _ { 2 } ( x ^{t}) ^ { 2 }
yielded the accompanying computer output.  The following data resulted from an experiment to assess the potential of unburnt colliery spoil as a medium for plant growth. The variables are x=acid extractable cations and y=exchangeable acidity/total cation exchange capacity.  \begin{array}{l} \begin{array} { c c c c c c c c }  \hline x & - 23 & - 5 & 16 & 26 & 30 & 38 & 52 \\ \hline x & 1.50 & 1.46 & 1.32 & 1.17 & .96 & .78 & .77 \\ \hline \end{array}\\\\ \begin{array} { l l l l l l l }  \hline x & 58 & 67 & 81 & 96 & 100 & 113 \\ \hline x & .91 & .78 & .69 & .52 & .48 & .55 \\ \hline \end{array} \end{array}  Standardizing the independent variable x to obtain  x ^ { t } = ( x - \bar { x } ) / s _ { x }  and fitting the regression function  y = \vec { \beta } _ { 0 } + \vec\beta _ { 1 } x ^ { t } + \vec { \beta } _ { 2 } ( x ^{t}) ^ { 2 }   yielded the accompanying computer output.    a. Estimate  \mu _ { y ^ { 50 } }   .  b. Compute the value of the coefficient of multiple determination. c. What is the estimated regression function  \hat { \beta } _ { 10 } + \hat { \beta } _ { 1 } x + \hat { \beta } _ { 2 } x ^ { 2 }   using the unstandardized variable x?  d. What is the estimated standard deviation of  \hat { \beta } _ { 2 }   computed in part ( c )?  e. Carry out a test using the standardized estimates to decide whether the quadratic term should be retained in the model. Repeat using the unstandardized estimates. Do your conclusions differ?
a. Estimate μy50\mu _ { y ^ { 50 } }
.
b. Compute the value of the coefficient of multiple determination.
c. What is the estimated regression function β^10+β^1x+β^2x2\hat { \beta } _ { 10 } + \hat { \beta } _ { 1 } x + \hat { \beta } _ { 2 } x ^ { 2 }
using the unstandardized variable x?
d. What is the estimated standard deviation of β^2\hat { \beta } _ { 2 }
computed in part ( c )?
e. Carry out a test using the standardized estimates to decide whether the quadratic term should be retained in the model. Repeat using the unstandardized estimates. Do your conclusions differ?

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a. blured image and blured image b. SST = 1.456923 and SSE = .11...

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