wrie down the estimated regression equation? 2. Following Question 1. The researcher thought that another variable, gender, might also affect the income level. Thus, he created a dummy variable for gender (1 for male and 0 for female) and estimated theregression model with two independent variables,SUMMARY OUTPUTRegression StatisticsMultiple RR Square0.9590.920Adjusted R Square0.898Standard Error3.988Observations10.000ANOVAdfSSMSFSignificance FRegression2.0001,286.766643.38340.4510.000Residual7.000111.33715.905Total9.0001,398.103Lower 95% Upper 95% Lower 95.0% Upper 95.0%(9.301)Coefficients itandard Errot StatP-value10.140.8.2221.2330.25729.581(9.301)29.581InterceptYears in College11.7003.4543.3880.0123.53319.8673.53319.8671.9506.3060.3090.766(12.961)16.861(12.961)16.861Gender

Given βo=10.140, β1=11.70, β2=1.95

Answered: 2. Following Question 1. The researcher…

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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