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Coefficients Unstandardized Coefficients Std Frror 87.782 Standardized Coefficients Beta Model (Constant) Sig .930 -7.803 -089 pct arrests under 18 pct of murder arrests under 18 212 1.338 016 .158 875 1.680 1.435 090 1.171 249 pct of burglary arrests under 18 -2.988 .975 -335 -3.065 004 pct of births to teenage 4.264 2.420 -206 -1.762 .087 women pct of births to unwed women 1.907 1.543 .139 1.236 224 divorce rate per 1000 -2.780 3.418 .066 813 421 034 378 .708 fertility rate per 1000 pct of expenditure on law enforcement 389 1.031 26.047 5.553 416 4.690 .000 murder rate per 100000 a. Dependent Variable: robbery rate per 100000 10.259 3.328 430 3.083 004 Rank the strength of the effect of each of the following variables on the robbery rate per 100000 population. List the strongest variable first and the weakest variable last

Coefficients Unstandardized Coefficients Std Frror 87.782 Standardized Coefficients Beta Model (Constant) Sig .930 -7.803 -089 pct arrests under 18 pct of murder arrests under 18 212 1.338 016 .158 875 1.680 1.435 090 1.171 249 pct of burglary arrests under 18 -2.988 .975 -335 -3.065 004 pct of births to teenage 4.264 2.420 -206 -1.762 .087 women pct of births to unwed women 1.907 1.543 .139 1.236 224 divorce rate per 1000 -2.780 3.418 .066 813 421 034 378 .708 fertility rate per 1000 pct of expenditure on law enforcement 389 1.031 26.047 5.553 416 4.690 .000 murder rate per 100000 a. Dependent Variable: robbery rate per 100000 10.259 3.328 430 3.083 004 Rank the strength of the effect of each of the following variables on the robbery rate per 100000 population. List the strongest variable first and the weakest variable last

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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Coefficients Standardized Coefficients Unstandardized Coefficients Model Std. Error B -7.803 Beta Sig. .930 1 (Constant) 87.782 -.089 pct arrests under 18 212 1.338 .016 .158 875 pct of murder arrests under 18 1.680 1.435 .090 1.171 .249 pct of burglary arrests under 18 -2.988 .975 -.335 -3.065 .004 pct of births to teenage -4.264 2.420 -206 -1.762 .087 women pct of births to unwed 1.907 1.543 .139 1.236 224 women divorce rate per 1000 fertility rate per 1000 pct of expenditure on law -2.780 3.418 -066 -.813 421 .389 1.031 .034 .378 .708 26.047 5.553 416 4.690 .000 enforcement murder rate per 100000 10.259 3.328 430 3.083 .004 a. Dependent Variable: robbery rate per 100000 Rank the strength of the effect of each of the following variables on the robbery rate per 100000 population. List the strongest variable first and the weakest variable last
Transcribed Image Text:Coefficients Standardized Coefficients Unstandardized Coefficients Model Std. Error B -7.803 Beta Sig. .930 1 (Constant) 87.782 -.089 pct arrests under 18 212 1.338 .016 .158 875 pct of murder arrests under 18 1.680 1.435 .090 1.171 .249 pct of burglary arrests under 18 -2.988 .975 -.335 -3.065 .004 pct of births to teenage -4.264 2.420 -206 -1.762 .087 women pct of births to unwed 1.907 1.543 .139 1.236 224 women divorce rate per 1000 fertility rate per 1000 pct of expenditure on law -2.780 3.418 -066 -.813 421 .389 1.031 .034 .378 .708 26.047 5.553 416 4.690 .000 enforcement murder rate per 100000 10.259 3.328 430 3.083 .004 a. Dependent Variable: robbery rate per 100000 Rank the strength of the effect of each of the following variables on the robbery rate per 100000 population. List the strongest variable first and the weakest variable last
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