The data in the accompanying table include the appraised value, land area of the property in acres, and age, in years, for a small sample of 30 single-family homes in a small city. Perform a multiple regression analysis to predict appraised value based on land area of the property (X4) and age, in years, (X2) and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? E Click the icon to view the data table. Determine the VIF for each independent variable in the model. VIF, =O VIF2 =D (Round to three decimal places as needed.) Appraised Land Area (аcres) 0.2974 0.1567 0.6107 0.3828 0.2298 0.1548 0.5018 0.3649 0.1172 0.4083 0.2885 0.5581 0.0984 Age Value 667.5 43 555.8 314.2 36 19 320.1 91 321.2 677.2 706.6 21 25 50 344.7 95 339.2 622.1 409.7 38 17 98 688.9 63 326.8 6 757.4 0.0819 71 0.4382 0.6719 0.3956 0.4178 0.2879 0.4865 0.4497 0.3662 0.1017 0.3915 0.2421 0.2365 0.4534 0.5747 0.6001 0.4602 345.9 69 486.4 768.5 624.2 493.7 384.6 286.5 765.8 786.2 308.6 695.6 518.6 796.9 611.8 762.9 306.1 23

The data in the accompanying table include the appraised value, land area of the property in acres, and age, in years, for a small sample of 30 single-family homes in a small city. Perform a multiple regression analysis to predict appraised value based on land area of the property (X4) and age, in years, (X2) and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? E Click the icon to view the data table. Determine the VIF for each independent variable in the model. VIF, =O VIF2 =D (Round to three decimal places as needed.) Appraised Land Area (аcres) 0.2974 0.1567 0.6107 0.3828 0.2298 0.1548 0.5018 0.3649 0.1172 0.4083 0.2885 0.5581 0.0984 Age Value 667.5 43 555.8 314.2 36 19 320.1 91 321.2 677.2 706.6 21 25 50 344.7 95 339.2 622.1 409.7 38 17 98 688.9 63 326.8 6 757.4 0.0819 71 0.4382 0.6719 0.3956 0.4178 0.2879 0.4865 0.4497 0.3662 0.1017 0.3915 0.2421 0.2365 0.4534 0.5747 0.6001 0.4602 345.9 69 486.4 768.5 624.2 493.7 384.6 286.5 765.8 786.2 308.6 695.6 518.6 796.9 611.8 762.9 306.1 23

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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