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Do states with political parties for republicans have a higher or lower incarceration rate? How can we tell with using Pearson’s R

Do states with political parties for republicans have a higher or lower incarceration rate? How can we tell with using Pearson’s R

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.2: Box-and-whisker Plots
Problem 2E
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Do states with political parties for republicans have a higher or lower incarceration rate? How can we tell with using Pearson’s R?
/VARIABLES=incarceration povertyrate race politicalpartyrepublican crimerat / PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations [DataSet0] Correlations politicalpartyr epublican incarceration povertyrate race crimerate incarceration Pearson Corelation 603" 1. -152 440 490 Sig. (2-tailed) .000 290 001 000 N 50 50 50 50 50 povertyrate Pearson Correlation .603" - 311" 1 139 444 Sig. (2-tailed) .000 .028 337 .001 50 50 50 50 50 race Pearson Correlation -152 -311 1 394* - 486* Sig. (2-tailed) 290 028 .005 .000 N 50 50 50 politicalpartyrepublican Pearson Correlation 50 50 440 139 394" -030 Sig. (2-tailed) 001 337 05 836 50 50 50 crimerate 50 50 Pearson Correlation 490 444" 486 - 030 Sig. (2-tailed) 000 001 00 836 50 50 50 ** Correlation is significant at the 0.01 level (2-tailed). 50 50 *. Correlation is significant at the 0.05 level (2-tailed). REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN (.05) POUT (. 10) /NOORIGIN /DEPENDENT incarceration /METHOD=ENTER povertyrate race crimerate politicalpartyrepublican. - Regression Variables Entered/Removed" ch 27
Transcribed Image Text:/VARIABLES=incarceration povertyrate race politicalpartyrepublican crimerat / PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations [DataSet0] Correlations politicalpartyr epublican incarceration povertyrate race crimerate incarceration Pearson Corelation 603" 1. -152 440 490 Sig. (2-tailed) .000 290 001 000 N 50 50 50 50 50 povertyrate Pearson Correlation .603" - 311" 1 139 444 Sig. (2-tailed) .000 .028 337 .001 50 50 50 50 50 race Pearson Correlation -152 -311 1 394* - 486* Sig. (2-tailed) 290 028 .005 .000 N 50 50 50 politicalpartyrepublican Pearson Correlation 50 50 440 139 394" -030 Sig. (2-tailed) 001 337 05 836 50 50 50 crimerate 50 50 Pearson Correlation 490 444" 486 - 030 Sig. (2-tailed) 000 001 00 836 50 50 50 ** Correlation is significant at the 0.01 level (2-tailed). 50 50 *. Correlation is significant at the 0.05 level (2-tailed). REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN (.05) POUT (. 10) /NOORIGIN /DEPENDENT incarceration /METHOD=ENTER povertyrate race crimerate politicalpartyrepublican. - Regression Variables Entered/Removed" ch 27
- Regression Variables Entered/Removed Variables Variables Entered Model Removed Method politicalpartyr epublican, crimerate, povertyrate, raceb 1 Enter a. Dependent Variable: incarceration b. All requested variables entered. Model Summary Adjusted R Square Std. Error of the Estimate Model R Square 759 576 539 134.39297 a. Predictors: (Constant), politicalpartyrepublican, crimerate, povertyrate, race ANOVA Sum of Squares Model df Mean Square F Sig. Regression 1106091.869 4 276522.967 15.310 000b 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 Sig. (Constant) -253.584 156.001 -1.626 .111 povertyrate 19.998 5.671 397 3.526 .001 race -.535 1.579 .043 339 736 crimerate .468 .183 305 2.555 .014 politicalpartyrepublican 10.851 2,934 411 3.698 01 a. Dependent Variable: incarceration ch
Transcribed Image Text:- Regression Variables Entered/Removed Variables Variables Entered Model Removed Method politicalpartyr epublican, crimerate, povertyrate, raceb 1 Enter a. Dependent Variable: incarceration b. All requested variables entered. Model Summary Adjusted R Square Std. Error of the Estimate Model R Square 759 576 539 134.39297 a. Predictors: (Constant), politicalpartyrepublican, crimerate, povertyrate, race ANOVA Sum of Squares Model df Mean Square F Sig. Regression 1106091.869 4 276522.967 15.310 000b 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 Sig. (Constant) -253.584 156.001 -1.626 .111 povertyrate 19.998 5.671 397 3.526 .001 race -.535 1.579 .043 339 736 crimerate .468 .183 305 2.555 .014 politicalpartyrepublican 10.851 2,934 411 3.698 01 a. Dependent Variable: incarceration ch
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