22. Is there multicollinearity in the model?Yes, No or Cannot be determined? CoefficientsTermConstantx1x2x3Model SummaryS3.47963Analysis of VarianceSourceRegressionErrorTotalCoef47.2-9.740.42818.24R-sq99.37%DF(5)(6)1991% CISE Coef49.6(-42.3, 136.6)3.69(-16.40, -3.07)0.224 (0.024, 0.832)1.31(15.87, 20.60)R-sq(adj)PRESS99.25%282.270Adj SS193.7(8)Adj MS10177.2(9)T-Value(1)(2)(3)(4)R-sq (pred)99.08%F-Value(10)P-ValueVIF0.3560.0186.610.0742.450.000 9.35BIC117.15AICC116.46P-Value0.000

The objective is to determine whether there is multicollinearity in the model.

Coefficients Term Constant x1 x2 x3 Model Summary S 3.47963 Analysis of Variance Source Regression Error Total Coef 47.2 -9.74 0.428 18.24 R-sq 99.37% DF (5) (6) 19 SE Coef 49.6 3.69 0.224 1.31 R-sq (adj) 99.25% Adj SS 193.7 (8) 91% CI (-42.3, 136.6) (-16.40, -3.07) (0.024, 0.832) (15.87, 20.60) PRESS 282.270 Adj MS 10177.2 (9) T-Value (1) (2) (3) (4) R-sq(pred) 99.08% F-Value (10) P-Value VIF 0.356 0.018 6.61 0.074 2.45 0.000 9.35 BIC 117.15 AICC 116.46 P-Value 0.000

Coefficients Term Constant x1 x2 x3 Model Summary S 3.47963 Analysis of Variance Source Regression Error Total Coef 47.2 -9.74 0.428 18.24 R-sq 99.37% DF (5) (6) 19 SE Coef 49.6 3.69 0.224 1.31 R-sq (adj) 99.25% Adj SS 193.7 (8) 91% CI (-42.3, 136.6) (-16.40, -3.07) (0.024, 0.832) (15.87, 20.60) PRESS 282.270 Adj MS 10177.2 (9) T-Value (1) (2) (3) (4) R-sq(pred) 99.08% F-Value (10) P-Value VIF 0.356 0.018 6.61 0.074 2.45 0.000 9.35 BIC 117.15 AICC 116.46 P-Value 0.000

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.3: Special Probability Density Functions

Problem 16E

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