Correlations % of Murders Involving Firearms in 1998 %of Population Graduated fr
ID: 3331225 • Letter: C
Question
Correlations % of Murders Involving Firearms in 1998 %of Population Graduated from High School as of 1998 % of Population Not Covered by Health Insurance 1998 Divorce Rate Pop in 1998 .077 627 42 -.186 Per 1000 % of Murders Involving Firearms in 1998 Pearson Correlation -.381 .418 Sig. (2-tailed) 008 .003 47 47 47 % of Population Graduated from High School as of 1998 Pearson Correlation -.381 -.393 008 .005 50 Sig. (2-tailed) 47 50 45 % of Population Not Covered by Health Insurance 1998 Pearson Correlation .418 -.393 .473 003 47 077 627 42 001 005 50 -.186 Sig. (2-tailed) 50 45 Divorce Rate Per 1000 Pop in 1998 Pearson Correlation .473 Sig. (2-tailed) .001 45 45 45 **. Correlation is significant at the 0.01 level (2-tailed)Explanation / Answer
Pearson correlation value can lie between -1 and 1. Higher absolute value would mean stronger association and vice-versa.
By looking at the dataset,it's apparent that divorce rate per 1000 and % of population not covered by health insurance has the highest pearson correlation of .473. Rsquare is basically square of correlation coeffecient.
Similarly,divorce rate per 1000 and % of murders involving firerms has the weakest association as they have the least pearson coeffecient of .077.