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Construct the Multiple Regression Sequence y^=b0+b1x1+b2x2+b3x3\hat { y } = b _ { 0 } + b _ { 1 } x _ { 1 } + b _ { 2 } x _ { 2 } + b _ { 3 } x _ { 3 }

Question 66

Multiple Choice

Construct the multiple regression sequence y^=b0+b1x1+b2x2+b3x3\hat { y } = b _ { 0 } + b _ { 1 } x _ { 1 } + b _ { 2 } x _ { 2 } + b _ { 3 } x _ { 3 } for the following data set:
yx1x2x331.350194.056.990388.043.170286.541.570255.539.060266.540.970295.035.960235.543.570285.547.980346.533.870264.5\begin{array} { c c c c } y & x _ { 1 } & x _ { 2 } & x _ { 3 } \\31.3 & 50 & 19 & 4.0 \\56.9 & 90 & 38 & 8.0 \\43.1 & 70 & 28 & 6.5 \\41.5 & 70 & 25 & 5.5 \\39.0 & 60 & 26 & 6.5 \\40.9 & 70 & 29 & 5.0 \\35.9 & 60 & 23 & 5.5 \\43.5 & 70 & 28 & 5.5 \\47.9 & 80 & 34 & 6.5 \\33.8 & 70 & 26 & 4.5\end{array}


A) y^=0.3258+0.2125x1+0.3888x2+2.6856x3\hat { y } = 0.3258 + 0.2125 x _ { 1 } + 0.3888 x _ { 2 } + 2.6856 x _ { 3 }
B) y=0.3518+0.2129x1+0.4167x2+2.5798x3y = 0.3518 + 0.2129 x _ { 1 } + 0.4167 x _ { 2 } + 2.5798 x _ { 3 }
C) y=2.5798+0.4167x1+0.2129x2+0.3518x3y = 2.5798 + 0.4167 x _ { 1 } + 0.2129 x _ { 2 } + 0.3518 x _ { 3 }
D) y^=2.6856+0.3888x1+0.2125x2+0.3258x3\hat { y } = 2.6856 + 0.3888 x _ { 1 } + 0.2125 x _ { 2 } + 0.3258 x _ { 3 }

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