30. Which of the following explanatory variables is NOT a significant predictor of the responsevariable?A. AgeB. Body surface areaC. Measure of stressD. Weight31. Which of the following explanatory variables is a significant predictor of the response variable?A. Basal pulseB. Body surface areaC. Duration of hypertensionD. Measure of stress DurationArterialBodysurface hypertenofbloodBasalWeight area (sqpulse(bpm)pressureAgesionMeasure(mmHg) (years)(kg)m)(years)of stressOVERALL FITMultiple R0.998073AIC-30.5509R Square0.99615AIC-17.46Adjusted R Square0.994373SBC-23.5807Standard Error0.407229Observations20ANOVAAlpha0.05dfSSMSFp-valueRegression6 557.8441 92.97402560.6416.4E-15Residual13 2.155858 0.165835Total19560coeffstd errt statp-valueloweruppervifIntercept-12.87052.55665 -5.03412 0.000229-18.3938 -7.34717Age (years)Weight (kg)Body surface area (sq m)Duration of hypertension (years)Basal pulse (bpm)0.703259 0.049606 14.17696 2.76E-09 0.596093 0.810426 1.7628070.96992 0.063108 15.36909 1.02E-09 0.833582 1.106257 8.4170353.776491 1.580151 2.389956 0.032694 0.362783 7.190199 5.3287510.068383 0.048441 1.411663 0.181534-0.03627 0.173035 1.237309-0.08448 0.051609 -1.63702 0.125594-0.195980.02701 4.413575Measure of stress0.005572 0.0034121.63277 0.126491-0.0018 0.012943 1.834845

Given regression analysis 30)The VIF (Variance Inflation Factor) tell us about how much variance…

Duration Arterial Body of blood surface hyperten Basal pressure (mmHg) (years) Age Weight area (sq sion pulse Measure (kg) m) (years) (bpm) of stress OVERALL FIT Multiple R R Square 0.998073 AIC -30.5509 0.99615 AIC -17.46 Adjusted R Square 0.994373 SBC -23.5807 Standard Error 0.407229 Observations 20 ANOVA Alpha 0.05 df MS p-value Regression 6 557.8441 92.97402 560.641 6.4E-15 Residual 13 2.155858 0.165835 Total 19 560 coeff std err t stat p-value lower upper vif Intercept Age (years) Weight (kg) Body surface area (sq m) Duration of hypertension (years) Basal pulse (bpm) -12.8705 2.55665 -5.03412 0.000229 -18.3938 -7.34717 0.703259 0.049606 14.17696 2.76E-09 0.596093 0.810426 1.762807 0.96992 0.063108 15.36909 1.02E-09 0.833582 1.106257 8.417035 3.776491 1.580151 2.389956 0.032694 0.362783 7.190199 5.328751 0.068383 0.048441 1.411663 0.181534 -0.03627 0.173035 1.237309 -0.08448 0.051609 -1.63702 0.125594 -0.19598 0.02701 4.413575 Measure of stress 0.005572 0.003412 1.63277 0.126491 -0.0018 0.012943 1.834845

Duration Arterial Body of blood surface hyperten Basal pressure (mmHg) (years) Age Weight area (sq sion pulse Measure (kg) m) (years) (bpm) of stress OVERALL FIT Multiple R R Square 0.998073 AIC -30.5509 0.99615 AIC -17.46 Adjusted R Square 0.994373 SBC -23.5807 Standard Error 0.407229 Observations 20 ANOVA Alpha 0.05 df MS p-value Regression 6 557.8441 92.97402 560.641 6.4E-15 Residual 13 2.155858 0.165835 Total 19 560 coeff std err t stat p-value lower upper vif Intercept Age (years) Weight (kg) Body surface area (sq m) Duration of hypertension (years) Basal pulse (bpm) -12.8705 2.55665 -5.03412 0.000229 -18.3938 -7.34717 0.703259 0.049606 14.17696 2.76E-09 0.596093 0.810426 1.762807 0.96992 0.063108 15.36909 1.02E-09 0.833582 1.106257 8.417035 3.776491 1.580151 2.389956 0.032694 0.362783 7.190199 5.328751 0.068383 0.048441 1.411663 0.181534 -0.03627 0.173035 1.237309 -0.08448 0.051609 -1.63702 0.125594 -0.19598 0.02701 4.413575 Measure of stress 0.005572 0.003412 1.63277 0.126491 -0.0018 0.012943 1.834845

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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