By the method of least squares, fit the regression plane y
Chapter 7, Problem 8E(choose chapter or problem)
By the method of least squares, fit the regression plane \(y=\beta_{1}+\beta_{2} x_{1}+\beta_{3} x_{2}\) to the following 12 observations of \(\left(x_{1}, x_{2}, y\right):(1,1,6),(0,2,3),(3,0,10)\),
\((–2, 0, –4), (–1, 2, 0), (0, 0, 1), (2, 1, 8), (–1, –1, –2), (0, –3, –3), (2, 1, 5), (1, 1, 1), (–1, 0, –2)\).
Equation Transcription:
Text Transcription:
y=beta_1+ beta_2 x_1+beta_3 x_2
(x_1,x_2,y):(1,1,6),(0,2,3),(3,0,10)
(–2, 0, –4), (–1, 2, 0), (0, 0, 1), (2, 1, 8), (–1, –1, –2), (0, –3, –3), (2, 1, 5), (1, 1, 1), (–1, 0, –2)
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