A colleague is conducting research on adults' job satisfaction as it relatesto gender, salary, and level of control felt over the work environment. Yourcolleague has collected data from a random sample of adults. Salary ismeasured in thousands of dollars. The control over one's workenvironment and job satisfaction scales are measured by averaging sets ofitems on a 0 to 7 point scale range, with low scores representing lowcontrol and low job satisfaction and higher scores representing a greatersense of control and job satisfaction.Here are the data.GenderSalaryControlJob SatisfactionМ425F5022F6055F4031М503M4073She is particularly interested in the relationship between job satisfactionand the person's perceived level of control.She ran two regressions on the data, both of which are presented below.Output 1SUMMARY OUTPUTRegression StatisticsMultiple R0.676024239RSquare0.457008771Adjusted R Square-0.357478071Standard Error19495996Observations6ANOVAdfMSSignificonce FRegressionResidual36.3981228213270760.561100250.6910509937.60187723.8009386Total14Coefficients Stondard ErrortStatP-volueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept-27794290186.087490533-0.4565804260.6927641-28.97178678 23.41292874-28.97178678 23.41292874Gender-0.8068048491900567068-0.424507434 0.7125009078.984284934 7.370675235-8.984284934 7.37065235Salary0.1140007820.1219214340.935034786 0,448478468-0.41058481 0.638586374-0.416584810.638586374Control0.4078998830.5342329580.7635243690.524923908-1.890719014 270651879-1.890719014 2706518779 Output 2SUMMARY OUTPUTRegression StatisticsMultiple R0.467707173R SquareAdjusted R Square0.218750.02343751.653594569Standard ErrorObservations6ANOVAdfSignificonce FSSMSFRegression13.06253.06251120.349594712Residual410.93752734375Total14Coefficients Stondard ErrorL786086271tStatP-volueLower 95%Upper 95%Lower 95.0Upper 95.0%Intercept1.250.6998542120.522582076-3.708970484 6.208970484-3.7089704846.208970484Control0.43750.4133936421.058300524 0.3495947120.710278637 1.585278637-0.710278637 1.585278637Select the appropriate model below to determine the regression equationthat you would use to predict job satisfaction using perceived level ofcontrol.JOB SATISFACTION.44 + 1.25 * CONTROLJOB SATISFACTION = 1.25 + .44 * CONTROLJOB SATISFACTION = -2.78 + .41 * CONTROLJOB SATISFACTION = -2.78 - .81 * GENDER + .11 * SALARY + .41 *CONTROL

Output 2 SUMMARY OUTPUT Regression Statistics Multiple R 0.467707173 R Square Adjusted R Square 0.21875 0.0234375 1.653594569 Standard Error Observations 6 ANOVA df Significonce F SS MS F Regression 1 3.0625 3.0625 112 0.349594712 Residual 4 10.9375 2734375 Total 14 Coefficients Stondard Error L786086271 tStat P-volue Lower 95% Upper 95% Lower 95.0 Upper 95.0% Intercept 125 0.699854212 0.522582076 -3.708970484 6.208970484 -3.708970484 6.208970484 Control 0.4375 0.413398642 1.058300524 0.349594712 0.710278637 1.585278637 -0.710278637 1.585278637 Select the appropriate model below to determine the regression equation that you would use to predict job satisfaction using perceived level of control. JOB SATISFACTION .44 + 1.25 * CONTROL JOB SATISFACTION = 1.25 + .44 * CONTROL JOB SATISFACTION = -2.78 + .41 * CONTROL JOB SATISFACTION = -2.78 - .81 * GENDER + .11 * SALARY + .41 * CONTROL

Output 2 SUMMARY OUTPUT Regression Statistics Multiple R 0.467707173 R Square Adjusted R Square 0.21875 0.0234375 1.653594569 Standard Error Observations 6 ANOVA df Significonce F SS MS F Regression 1 3.0625 3.0625 112 0.349594712 Residual 4 10.9375 2734375 Total 14 Coefficients Stondard Error L786086271 tStat P-volue Lower 95% Upper 95% Lower 95.0 Upper 95.0% Intercept 125 0.699854212 0.522582076 -3.708970484 6.208970484 -3.708970484 6.208970484 Control 0.4375 0.413398642 1.058300524 0.349594712 0.710278637 1.585278637 -0.710278637 1.585278637 Select the appropriate model below to determine the regression equation that you would use to predict job satisfaction using perceived level of control. JOB SATISFACTION .44 + 1.25 * CONTROL JOB SATISFACTION = 1.25 + .44 * CONTROL JOB SATISFACTION = -2.78 + .41 * CONTROL JOB SATISFACTION = -2.78 - .81 * GENDER + .11 * SALARY + .41 * CONTROL

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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