Correlations calculated in 9.2 INFMORT INCOME OLDMOM YOUNGMOM Pearson Correlation Sig. (2-tailed) N TOOSOON Pearson Correlation. Sig. (2-tailed) N CONTRACE Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N INFMORT 1 . 26 -.556** .003 26 .224 .271 26 -.049 .811 26 .123 .549 26 -.440* .025 26 Correlations INCOME **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). -.556** .003 26 1 26 .057 .782 26 .042 .840 26 -.140 .495 26 .329 .100 26 YOUNGMOM 9.5 What can we conclude from data on infant mortality? .224 .271 26 .057 .782 26 1 26 -.5781 .002 26 .008 .970 26 .302 .134 26 OLDMOM -.049 .811 26 .042 .840 26 -.578 .002 26 1 26 -.194 .342 26 -.142 .489 26 TOOSOON .123 .549 26 -.140 .495 26 .008 .970 26 -.194 .342 26 1 . 26 -.320 .111 26 CONTRACE -.440* .025 26 .329 .100 26 .302 .134 26 -.142 .489 26 -.320 .111 26 1 * 26 9.8 From the previous, do you think that we are able to conclude that low income causes infant mortality?

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