please help me answer for my data analysis class 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 onland area of the property (X,) 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?Click the icon to view the data table.Determine the VIF for each independent variable in the model.iTable of DataVIF, =D VIF2 = I(Round to three decimal places as needed.)Appraised Land Area(acres)0.44710.5122AgeValue227.836548.895501.5201.30.5545350.3429840.44580.5188648.834670.474720.40.219991796.30.316153233.30.638668289.60.535635217.10.272950593.20.341149433.10.132428580.30.230641207.40.375967277.70.461714370.90.087959783.40.154151272.50.692948605.30.5545500.25940.4588594.28.636.970462.80.147359761.50.53440.109140363.368789.6435.40.66730.37680.29181486Enter your answer in the edit fields and then click Check Answer.648.375721.60.2024761 partremaining770.50.466210Check Answer

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Description: please help me answer for my data analysis class 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 r

Regression equation for Y, X1 and X2 is constructed below: Excel Procedure for Regression: Enter…

Math

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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 (X,) and age, in years, (X,) 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. Table of Data VIF, =D VIF2 =O (Round to three decimal places as needed.)

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 (X,) and age, in years, (X,) 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. Table of Data VIF, =D VIF2 =O (Round to three decimal places as needed.)

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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