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Based on the above regression results does jailing more criminals ((INPRISON06) reduce violent crime rates? Please explain. based on the above regression results if a greater proportion of the adult population is in prison (PCTINCAR06) will that lead to a drop in violent crimes per 100,000 residents? Please explain. Based on the above regression results will hiring additional police reduce violent crime rates? Please explain.

Based on the above regression results does jailing more criminals ((INPRISON06) reduce violent crime rates? Please explain. based on the above regression results if a greater proportion of the adult population is in prison (PCTINCAR06) will that lead to a drop in violent crimes per 100,000 residents? Please explain. Based on the above regression results will hiring additional police reduce violent crime rates? Please explain.

MATLAB: An Introduction with Applications
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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  • Based on the above regression results does jailing more criminals ((INPRISON06) reduce violent crime rates? Please explain.
  • based on the above regression results if a greater proportion of the adult population is in prison (PCTINCAR06) will that lead to a drop in violent crimes per 100,000 residents? Please explain.
  • Based on the above regression results will hiring additional police reduce violent crime rates? Please explain.
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept COPS06 1. COPS06 2. INPRISON06 3. PCTINCARC06 4. PCTHSGRAD 0.6732873 0.45331579 0.37703427 145.202147 5. UNEMPL06 6. MEDHHINC df 50 6 43 49 SS MS 751759.355 125293.226 906597.533 21083.6635 1658356.89 t Stat P-value 775.395745 0.92803401 0.35857017 0.00256171 2.20585521 0.03278751 INPRISON06 0.00173076 -1.890892 0.06538868 PCTINCARC06 10073.9634 3.55686577 0.00092874 PCTHSGRAD 894.527951 -1.1327642 0.26359019 UNEMPL06 22.5572948 1.37385162 0.17660773 MEDHHINC 0.00318548 0.00335531 0.94938637 0.34772978 Dependent Variable is Violent Crimes per 100,000 residents in 2006 in all 50 states. The independent variables (X-variables) are given below. Public Law Enforcement Officers, 2006 Coefficients Standard Error 719.593622 0.00565077 -0.0032727 35831.7356 -1013.2893 30.9903761 F 5.94266862 Significance F Statewide Unemployment Rate, 2006 Median Household Income, 2006 0.00013891 Number of people in prison, 2006 Percent of Adult Population in prison, 2006 Percent of Adult Population with High School Diploma or equivalent
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept COPS06 1. COPS06 2. INPRISON06 3. PCTINCARC06 4. PCTHSGRAD 0.6732873 0.45331579 0.37703427 145.202147 5. UNEMPL06 6. MEDHHINC df 50 6 43 49 SS MS 751759.355 125293.226 906597.533 21083.6635 1658356.89 t Stat P-value 775.395745 0.92803401 0.35857017 0.00256171 2.20585521 0.03278751 INPRISON06 0.00173076 -1.890892 0.06538868 PCTINCARC06 10073.9634 3.55686577 0.00092874 PCTHSGRAD 894.527951 -1.1327642 0.26359019 UNEMPL06 22.5572948 1.37385162 0.17660773 MEDHHINC 0.00318548 0.00335531 0.94938637 0.34772978 Dependent Variable is Violent Crimes per 100,000 residents in 2006 in all 50 states. The independent variables (X-variables) are given below. Public Law Enforcement Officers, 2006 Coefficients Standard Error 719.593622 0.00565077 -0.0032727 35831.7356 -1013.2893 30.9903761 F 5.94266862 Significance F Statewide Unemployment Rate, 2006 Median Household Income, 2006 0.00013891 Number of people in prison, 2006 Percent of Adult Population in prison, 2006 Percent of Adult Population with High School Diploma or equivalent
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