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. 2012 Sep 28;4(6):170–178. doi: 10.5539/gjhs.v4n6p170

Table 4.

Multiple linear regression analyses

a) analysis with calorie Standard 95% confidence intervals

regression coefficient t value p value
Polyamine -0.355 -2.836 0.007 -0.016 to -0.003
Total calorie 0.231 1.965 0.06 -0.00001 to 0.001
Whole milk 0.113 2.120 0.04 0.00005 to 0.001
Vegetables etc 0.028 0.279 0.78 -0.328 to 0.432
Alcohol 0.019 0.259 0.80 -0.008 to 0.010
Seafood: meat ratio -0.046 -0.743 0.46 -0.407 to 0.188
Obesity rate 0.012 0.227 0.82 -0.071 to 0.090
Smoking rate 0.183 2.923 0.006 0.004 to 0.024
GDP -0.864 -8.396 <0.001 -0.013 to -0.008

d (Durbin-Watson)= 1.858
b) analysis with calorie Standard 95% confidence intervals

regression coefficient t value p value
Polyamine -0.212 -2.009 0.05 -0.011 to 0.00004
Whole milk 0.127 2.326 0.03 0.00007 to 0.001
Vegetables etc -0.012 -0.119 0.91 -0.408 to 0.362
Alcohol 0.031 0.412 0.68 -0.007 to 0.011
Seafood: meat ratio -0.012 -0.192 0.85 -0.324 to 0.268
Obesity rate 0.010 0.181 0.86 -0.076 to 0.091
Smoking rate 0.180 2.776 0.008 0.004 to 0.024
GDP -0.755 -8.405 <0.001 -0.012 to -0.007

d (Durbin-Watson)= 1.747