Key Lab 11 - Roses Multicollinearity Output

Key Lab 11 - Roses Multicollinearity Output - Regression...

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Regression Analysis: sales versus prose, pcarn, dinc, d2, prosed2 The regression equation is sales = 17377 - 3865 prose + 2243 pcarn - 32.3 dinc + 492 d2 + 331 prosed2 Predictor Coef SE Coef T P VIF Constant 17377 5295 3.28 0.008 prose -3864.6 530.5 -7.28 0.000 1.7 pcarn 2242.5 817.8 2.74 0.021 1.5 dinc -32.26 24.68 -1.31 0.221 1.2 d2 492 4837 0.10 0.921 98.0 prosed2 331 1443 0.23 0.823 100.0 S = 846.310 R-Sq = 88.6% R-Sq(adj) = 82.8% Analysis of Variance Source DF SS MS F P Regression 5 55433947 11086789 15.48 0.000 Residual Error 10 7162409 716241 Total 15 62596356 Source DF Seq SS prose 1 38490399 pcarn 1 9749328 dinc 1 455799 d2 1 6700689 prosed2 1 37731 Correlations: sales, prose, pcarn, dinc, d2, prosed2 sales prose pcarn dinc d2 prose -0.784 0.000 pcarn -0.023 0.472 0.934 0.065 dinc -0.413 0.289 -0.104 0.112 0.277 0.700 d2 0.115 0.289 0.244 0.193 0.672 0.278 0.362 0.474 prosed2 0.078 0.321 0.239 0.218 0.994 0.774 0.226 0.372 0.417 0.000 Cell Contents: Pearson correlation P-Value
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This note was uploaded on 12/08/2011 for the course ECON 312 taught by Professor Daniellass during the Winter '10 term at UMass (Amherst).

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Key Lab 11 - Roses Multicollinearity Output - Regression...

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