+Model1RegressionResidualTotala. Dependent Variable: yb. Predictors: (Constant), xModel SummaryModel R997⁰Expected CarbSum of Squares69.143.35769.500R Square9951a. Predictors: (Constant), xb. Dependent Variable: yNormal PP Plot of Regression Standardized ResidualDependent Variable: yObserved On PrebcaANOVAdifAdjusted RSquare994Regre Stand14Mean Square69.143.089Std. Error ofthe Estimate29881ScatterplatdRegrested PredictedF774.400Sig..000⁰(a) Does there seem to be linear relationship between the years of education andthe hourly wages?(b) Determine the correlation between the years of education and the hourlywage. Would this correlation be valid if the relationship between the twovariables was not linear?(c) Test the hypothesis to determine if years of education are related to the hourlywages. Use a = 0.05.(d) State the linear relationship between the two variables using least squaresmethod.(e) Based on (d), what would be the estimated average wage for an wage earnerwho had 11 years of education? Is this estimate reliable? (2) Suppose a purpose of study is to find a relationship between the "years ofeducation" and "average hourly wage" Let x denotes "years of education" and ydenote the "average hourly wage." The following summary statistics is obtainedfrom a sample of 6 wage earners:Model120:00-14.00-1400OX12:00(Constant)a. Dependent Variable: y15.00B16:00Unstandardized CoefficientsStd. Error-9.0711.571Coefficients.856.056StandardizedCoefficientsBeta.997t-10.60027.828Sig..000.000

Consider the given information in which the variable x is the year of education and y is the…

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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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(2) Suppose a purpose of study is to find a relationship between the "years of education" and "average hourly wage" Let x denotes "years of education" and y denote the "average hourly wage." The following summary statistics is obtained from a sample of 6 wage earners: 2000- 1800 100 1400 0