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Looking at the data for Pearson's Correlation, which one has the strongest and which one is the lowest?

Looking at the data for Pearson's Correlation, which one has the strongest and which one is the lowest?

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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Looking at the data for Pearson's Correlation, which one has the strongest and which one is the lowest?

- Regression Variables Entered/Removeda Variables Entered Variables Removed Model Method politicalpartyr epublican, crimerate, povertyrate, race Enter a Dependent Variable: incarceration b. All requested variables entered. Model Summary Adjusted R Square Std. Error of Model R. R Square the Estimate 759 576 539 134.39297 a. Predictors (Constant), politicalpartyrepublican, crimerate, povertyrate, race ANOVA Sum of Model Squares df Mean Square Sig. Regression 1106091.869 276522.967 4 15.310 000 Residual 812766.131 45 18061.470 Total 1918858.000 49 a. Dependent Variable: incarceration b. Predictors: (Constant), politicalpartyrepublican, crimerate, povertyrate, race Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta t. Sig. 1 (Constant) -253.584 156.001 -1.626 .111 povertyrate 8669 -.535 5.671 .397 3.526 .001 race 1.579 -.043 -.339 .736 crimerate .468 .183 .305 2.555 .014 politicalpartyrepublican 10.851 2.934 a. Dependent Variable: incarceration .411 3.698 .001 ch
Transcribed Image Text:- Regression Variables Entered/Removeda Variables Entered Variables Removed Model Method politicalpartyr epublican, crimerate, povertyrate, race Enter a Dependent Variable: incarceration b. All requested variables entered. Model Summary Adjusted R Square Std. Error of Model R. R Square the Estimate 759 576 539 134.39297 a. Predictors (Constant), politicalpartyrepublican, crimerate, povertyrate, race ANOVA Sum of Model Squares df Mean Square Sig. Regression 1106091.869 276522.967 4 15.310 000 Residual 812766.131 45 18061.470 Total 1918858.000 49 a. Dependent Variable: incarceration b. Predictors: (Constant), politicalpartyrepublican, crimerate, povertyrate, race Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta t. Sig. 1 (Constant) -253.584 156.001 -1.626 .111 povertyrate 8669 -.535 5.671 .397 3.526 .001 race 1.579 -.043 -.339 .736 crimerate .468 .183 .305 2.555 .014 politicalpartyrepublican 10.851 2.934 a. Dependent Variable: incarceration .411 3.698 .001 ch
/VARIABLES=incarceration povertyrate race politicalpartyrepublican crimerat ĐISON TIVLOMI=LNIHd/ Correlations [DataSet0] Correlations politicalpartyr epublican incarceration povertyrate Incarceration' Pearson Corelation 603 -152 1. 000 50 Sig (2-tailed) 000 N. Pearson Corelation 09 povertyrate -311 444 E09 1. Sig (2-tailed) 000 09 .394 Pearson Correlation -152 -311 1. Sig. (2-tailed) 067 000* 09 politicalpartyrepublican Pearson Correlation 1. Sig. (2-tailed) 001 337 005 crimerate Pearson Correlation 444 -.030 066 985 1. Sig. (2-tailed) 001 836 000 000 Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). REGRESSION ASIMISIT ONISSIN/ /STATISTICS COEFE OUIS R ANOVA /NOORIGIN VDEPENDENT incarceration /METHOD=ENTER povertyrate race crimerate politicalpartyrepublican. Regression Variables Entered/Removed"
Transcribed Image Text:/VARIABLES=incarceration povertyrate race politicalpartyrepublican crimerat ĐISON TIVLOMI=LNIHd/ Correlations [DataSet0] Correlations politicalpartyr epublican incarceration povertyrate Incarceration' Pearson Corelation 603 -152 1. 000 50 Sig (2-tailed) 000 N. Pearson Corelation 09 povertyrate -311 444 E09 1. Sig (2-tailed) 000 09 .394 Pearson Correlation -152 -311 1. Sig. (2-tailed) 067 000* 09 politicalpartyrepublican Pearson Correlation 1. Sig. (2-tailed) 001 337 005 crimerate Pearson Correlation 444 -.030 066 985 1. Sig. (2-tailed) 001 836 000 000 Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). REGRESSION ASIMISIT ONISSIN/ /STATISTICS COEFE OUIS R ANOVA /NOORIGIN VDEPENDENT incarceration /METHOD=ENTER povertyrate race crimerate politicalpartyrepublican. Regression Variables Entered/Removed"
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