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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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=sharing
Then look at the
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