Look at the picture of the data set attached below or click this link to view the data set: https://docs.google.com/spreadsheets/d/1e0EJHxWj19KitPwekp2ncj7zhNOGjNRr5qJPfzZaosA/edit?usp=sharingThen look at the regression analysis and explain what the results mean. SUMMARY OUTPUTMultiple RR SquareAdjusted R SquareStandard ErrorObservationsANOVARegression StatisticsRegressionResidualTotalInterceptCrime Rate (per 100,000)Violent crimes (per 100,000)Property Crimes (per 100,000)0.448340.2010080.1457325.16360950dfSSMSFSignificance F3 315.2655861 105.0885 5.912074 0.0016862447 1253.154414 26.66286501568.42Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%92.75449 3.353599979 27.65819 9.91E-31 86.0079172 99.50106 86.0079172 99.5010631-0.011007 0.006981811 -1.57647 0.121626 -0.02505218 0.003039 -0.02505218 0.0030390165535 #NUM!0.007979244 1.065228 #NUM! -0.00755246 0.024552 -0.00755246 0.0245518800.008500000 1 High School Completion and Crime Rate 20142 StateHigh School Completion3 Alabama4 Alaska5 Arizona6 Arkansas7 California8 Colorado9 Connecticut10 Delaware11 Florida12 Georgia13 Hawaii14 Idaho15 Illinois16 Indiana17 lowa18 Kansas19 Kentucky20 Louisiana21 Maine22 Maryland23 Massachusetts24 Michigan25 Minnesota26 Mississippi27 Missouri28 Montana29 Nebraska30 Nevada31 New Hampshire32 New Jersey33 New Mexico34 New York35 North Carolina36 North Dakota37 Ohio38 Oklahoma39 Oregon40 Pennsylvania41 Rhode Island42 South Carolina43 South Dakota44 Tennessee45 Texas46 Utah47 Vermont48 Virginia49 Washington50 West Virginia51 Wisconsin52 Wyoming53867176878177878776738277868891868887868679817887859070888969788487828372858180838788848885788589793395.83597.43818.12837.22839.22157.33471.13956Crime Rate (per 100,000 Violent crimes (per 100,000 Property Crimes (per 100,000)3605427.A3177.627603197.53658.53309.220672445.93014.72367.33083.82458.53973.52114.22953.62248.52471.22526.63199.73349.42796.62803.932612158.81995.34139.721003202.62375.430843396.73111.32245.82392.839582190.436693425.33094.11623.72126.53991.32336.7D2378.62160.2635.8399.9480.1396.1309.1236.9489.1540.5377.3259.2212.2370365.3273.5348.6211.64.7127.8446.1391.4427.3229.1278.5442.9323.7280.4635.6196.1261.2597.4381.8329.5265.1284.9406E232.3314.1219.2497.7326.5608.4405.9215.699.3196.2285.2302290.3195.533382441.12530.11920.429823415.53281.230501854.82075.92649.42093.82735.22246.93458.81986.42507.51857.12043.92297.52921.22906.52472.92523.52625.411962.71734.13542.31718.22873.12110.32799.12990.7128791931.72173.613460.31863.93060.63019.42878.511524.41930.33706.12034.72088.31964.7

Introduction The multiple linear regression shows the relationship b/w 1 dependent and more than 1…

SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total Intercept Crime Rate (per 100,000) Violent crimes (per 100,000) Property Crimes (per 100,000) 0.44834 0.201008 0.145732 5.163609 50 df 3 47 50 SS MS F Significance F 315.2655861 105.0885 5.912074 0.00168624 1253.154414 26.66286 1568.42 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 92.75449 3.353599979 27.65819 9.91E-31 86.0079172 99.50106 86.0079172 99.5010631 -0.011007 0.006981811 -1.57647 0.121626 -0.02505218 0.003039 -0.02505218 0.00303901 0 65535 #NUM! 0.0085 0.007979244 1.065228 #NUM! -0.00755246 0.024552 -0.00755246 0.02455188 0 0 0 0 0

SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total Intercept Crime Rate (per 100,000) Violent crimes (per 100,000) Property Crimes (per 100,000) 0.44834 0.201008 0.145732 5.163609 50 df 3 47 50 SS MS F Significance F 315.2655861 105.0885 5.912074 0.00168624 1253.154414 26.66286 1568.42 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 92.75449 3.353599979 27.65819 9.91E-31 86.0079172 99.50106 86.0079172 99.5010631 -0.011007 0.006981811 -1.57647 0.121626 -0.02505218 0.003039 -0.02505218 0.00303901 0 65535 #NUM! 0.0085 0.007979244 1.065228 #NUM! -0.00755246 0.024552 -0.00755246 0.02455188 0 0 0 0 0

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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