Exam 2 SAS -...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
data lung; infile 'lung.data'; input x1 x2 x3 y; run; proc corr; var x1 x2 x3; run; proc reg; model y = x2 x1 x3 / covb i influence partial ss1 ss2 vif; output out=fit p=yhat cookd=cookd; run; proc print; run; Correlation Analysis 3 'VAR' Variables: X1 X2 Simple Statistics Variable N Mean Std Dev X1 19 32.894737 11.135004 X2 19 43.736842 23.404278 X3 19 40.473684 8.764629 Pearson Correlation Coefficients / Prob > |R| u X1 X2 X1 1.00000 0.65285 0.0 0.0024 X2 0.65285 1.00000 0.0024 0.0 X3 -0.04614 -0.42348 0.8512 0.0708 Model: MODEL1 X'X Inverse, Parameter Estimates INTERCEP X2 http://www.stat.purdue.edu/~chong/stat512/ps/lung.listing 1 of 3 3/24/2010 11:52 AM
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
INTERCEP 2.232495063 -0.010284583 -0.0021165 X2 -0.010284583 0.0002422192 -0.0003231 X1 -0.002116526 -0.000323115 0.00088005 X3 -0.041024823 0.0002549671 -0.0003137 Y 87.18750008 -0.513150299 -0.5644783 Dependent Variable: Y Analysis of Variance Sum of Mea Source DF Squares Squar Model 3 4966.67801 1655.5593 Error 15 3121.00620 208.0670
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 04/28/2010 for the course STAT 512 taught by Professor Staff during the Spring '08 term at Purdue University-West Lafayette.

Page1 / 3

Exam 2 SAS -...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online