The following MINITAB output presents a multiple regression equatior

\hat { y }

=b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄
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

\begin{array}{lllll}\text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \mathrm{P} \\\text { Constant } & 4.7712 & 0.7648 & 0.92800 & 0.3280 \\\mathrm{X} 1 & 0.2662 & 0.8036 & -0.93740 & 0.3570 \\\mathrm{X} 2 & 1.2710 & 0.8451 & 1.74170 & 0.0830 \\\mathrm{X} 3 & -1.1349 & 0.6318 & -2.94990 & 0.0080 \\\mathrm{X} 4 & -1.8545 & 0.6753 & 3.27200 & 0.0020\end{array}

$The following MINITAB output presents a multiple regression equatior \hat { y } =b0+b1x1+b2x2+b3x3+b4x4 The regression equation is \mathrm { Y } = 4.7712 + 0.2662 \mathrm { X } 1 + 1.2710 \mathrm { X } 2 - 1.1349 \mathrm { X } 3 - 1.8545 \mathrm { X } 4 \begin{array}{lllll} \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \mathrm{P} \\ \text { Constant } & 4.7712 & 0.7648 & 0.92800 & 0.3280 \\ \mathrm{X} 1 & 0.2662 & 0.8036 & -0.93740 & 0.3570 \\ \mathrm{X} 2 & 1.2710 & 0.8451 & 1.74170 & 0.0830 \\ \mathrm{X} 3 & -1.1349 & 0.6318 & -2.94990 & 0.0080 \\ \mathrm{X} 4 & -1.8545 & 0.6753 & 3.27200 & 0.0020 \end{array} \text { Analysis of Variance } \begin{array}{lccccc} \text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\ \text { Regression } & 4 & 624.2 & 156.1 & 9.8797 & 0.003 \\ \text { Residual Error } & 40 & 633.7 & 15.8 & & \\ \text { Total } & 44 & 1,257.9 & & & \\ \hline \end{array} It is desired to drop one of the explanatory variables. Which of the following is the most appropriate action? A) Drop x4, then see whether R2 increases B) Drop x1, then see whether R2 increases C) Drop x4, then see whether adjusted R2 increases D) Drop x1, then see whether adjusted R2 increases$

\text { Analysis of Variance }

\begin{array}{lccccc}\text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\\text { Regression } & 4 & 624.2 & 156.1 & 9.8797 & 0.003 \\\text { Residual Error } & 40 & 633.7 & 15.8 & & \\\text { Total } & 44 & 1,257.9 & & & \\\hline\end{array}

It is desired to drop one of the explanatory variables. Which of the following is the most appropriate action?
A) Drop x₄, then see whether R² increases
B) Drop x₁, then see whether R² increases
C) Drop x₄, then see whether adjusted R² increases
D) Drop x₁, then see whether adjusted R² increases

Use the Given Set of Points to Construct A 95%95 \%95%

Multiple Choice

Correct Answer:VerifiedUnlock this answer nowGet Access to more Verified Answers free of chargeAccess For Free

Use the Given Set of Points to Construct A $95 \%$

Correct Answer:
Verified
Unlock this answer now
Get Access to more Verified Answers free of charge