document.write( "Question 1032214: Correlation matrix. Statistical packages can easily calculate correlation coefficents for multiple pairings of variables. Results are often reported in the form of a correlation matrix. Figure 14.18 displays the correlation matrix for data from study of geographic variation in cancer rates.r The variables are:\r
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document.write( "CIG cigarettes sold per capita
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document.write( "BLAD bladder cancer deaths per 100,000
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document.write( "LUNG lung cancer deaths per 100,000
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document.write( "KID kidney cancer deaths per 100,000
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document.write( "LEUK leukemia cancer deaths per 100,000\r
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document.write( "Notivce that the values for each correlation coefficient appear twice in the matrix, eact tie the variables intersect in either row or column order. For example, the value r = 0.704 occurs for CIG and BLAD and for BLAD and CIG. The correlation of 1 across the diagonal reflects the trivial fact that each variable is perfectly correlated with itself. Review this correlation matrix and interpret results. \r
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Algebra.Com's Answer #646896 by macston(5194)![]() ![]() You can put this solution on YOUR website! The answer is given beside the correlation matrix in figure 14.19 \n" ); document.write( " |