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The Following MINITAB Output Presents a Multiple Regression Equation y^=b0+\hat { y } = b _ { 0 } +

question 58

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The following MINITAB output presents a multiple regression equation y^=b0+\hat { y } = b _ { 0 } + b1x1+b2x2+b3x3+b4x4b _ { 1 } x _ { 1 } + b _ { 2 } x _ { 2 } + b _ { 3 } x _ { 3 } + b _ { 4 } x _ { 4 } .
The regression equation is
Y=4.7712+0.2662X1+1.2710X21.1349X31.8545X4\mathrm { Y } = 4.7712 + 0.2662 \mathrm { X } 1 + 1.2710 \mathrm { X } 2 - 1.1349 \mathrm { X } 3 - 1.8545 \mathrm { X } 4
S=2.8844RSq=49.6%RSq(adj) =43.9%\mathrm { S } = 2.8844 \quad \mathrm { R } - \mathrm { Sq } = 49.6 \% \quad \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 43.9 \%
 Analysis of Variance  Source  DF  SS  MS  F P  Regression 4624.2156.19.87970.003 Residual Error 40633.715.8 Total 441257.9\begin{array}{l}\text { Analysis of Variance }\\\begin{array}{lcccrl}\text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F P } & \\\text { Regression } & 4 & 624.2 & 156.1 & 9.8797 & 0.003 \\\text { Residual Error } & 40 & 633.7 & 15.8 & & \\\text { Total } & 44 & 1257.9 & & &\end{array}\end{array}
It is desired to drop one of the explanatory variables. Which of the following is tl appropriate action?


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