The following MINITAB output presents a multiple regression equation

\hat { y } = b _ { 0 } +

b _ { 1 } x _ { 1 } + b _ { 2 } x _ { 2 } + b _ { 3 } x _ { 3 } + b _ { 4 } x _ { 4 }

.
The regression equation is

\mathrm { Y } = 4.7712 + 0.2662 \mathrm { X } 1 + 1.2710 \mathrm { X } 2 - 1.1349 \mathrm { X } 3 - 1.8545 \mathrm { X } 4

\mathrm { S } = 2.8844 \quad \mathrm { R } - \mathrm { Sq } = 49.6 \% \quad \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 43.9 \%

\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?
A) Drop

x _ { 1 }

, then see whether adjusted

R ^ { 2 }

increases
B) Drop

x _ { 1 }

, then see whether

R ^ { 2 }

increases
C) Drop

x _ { 4 }

, then see whether adjusted

R ^ { 2 }

increases
D) Drop

x _ { 4 }

, then see whether

R ^ { 2 }

increases ost

In a Water-Bottling Facility, Several Machines Fill Plastic Bottles with 16

Multiple Choice