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class_10_01 - Statistical Data Mining ORIE 474 Fall 2007...

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Statistical Data Mining ORIE 474 Fall 2007 Tatiyana Apanasovich 10/01/07 Regression (I)
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Multiple Linear Regression Models Many applications of regression analysis involve situations in which there are more than one regressor variable. A regression model that contains more than one regressor variable is called a multiple regression model . Introduction
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Multiple Linear Regression Models For example, suppose that the effective life of a cutting tool depends on the cutting speed and the tool angle. A possible multiple regression model could be where Y – tool life x 1 – cutting speed x 2 – tool angle Introduction
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Multiple Linear Regression Models Figure 12-1 (a) The regression plane for the model E ( Y ) = 50 + 10x 1 + 7x 2 . (b) The contour plot Introduction
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Multiple Linear Regression Models Introduction
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Multiple Linear Regression Models Figure 12-2 (a) Three-dimensional plot of the regression model E ( Y ) = 50 + 10x 1 + 7x 2 + 5x 1 x 2 . (b) The contour plot Introduction
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Multiple Linear Regression Models Figure 12-3 (a)
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