Table 7. Correlation and regression models for the different variables.
Data and Variables | Pearson's Correlation (r) | P-Value For Pearson's Correlation | Regression Analysis | |||||
---|---|---|---|---|---|---|---|---|
R2 | F-Statistic |
ANOVA Model P-Value |
T-Statistic | P-Value | ||||
Systolic BP and pot urine protein | 0.47 | <0.0001 | 0.145 | 150 | <0.0001 | -9.72 | <0.0001 | |
Diastolic BP and pot urine protein | 0.31 | < 0.0001 | 0.058 | 54.92 | <0.0001 | -5.4 | < 0.0001 | |
Mean arterial pressure (MAP) | 0.43 | < 0.0001 | 0.115 | 115 | <0.0001 | - 8.7 | <0.0001 | |
Pulse pressure (PP) | 0.45 | <0.0001 | 0.110 | 109.74 | <0.0001 | -5.52 | <0.0001 | |
Mathematical / Statistical Regression models and equations | ||||||||
Systolic BP and pot urine protein | Spot urine protein = -138.6 + [ 1.347 × systolic BP] | |||||||
Diastolic BP and pot urine protein | Spot urine protein = -93.4 + [ 1.62 × diastolic BP] | |||||||
Mean arterial pressure and spot urine protein | Spot urine protein = -149.5 + [ 1.922 × mean arterial pressure] | |||||||
Pulse pressure and spot urine protein | Spot urine protein = -41.23 +[ 1.541 × pulse pressure ] |