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Nowadays, non-invasive blood pressure (BP) is commonly measured by cuff-based devices, which cause discomfort during measurement and can only provide snapshots of BP. In order to measure beat-to-beat BP continuously and cufflessly, models based on pulse arrival time (PAT) and RR interval (RRI), which can both be conveniently acquired by wearable devices, have been previously proposed. Nevertheless, the existing models often estimate BP based on PAT and RRI of the same beat and ignore the possible time shifts between these variables. In this paper, the cross correlation between RRI, systolic BP (SBP), diastolic BP (DBP) and PAT were studied on 25 young healthy subjects. In total, 1015 cross correlation coefficients, each from a 1-minute signal recording, were calculated for any two cardiovascular variables. The results of the study showed that on average, maximum correlation is found between RRI and DBP when RRI led by 1.3 seconds and between RRI and PAT or SBP when RRI led them by 2.5 seconds. Based on the results of this study, it is therefore concluded that future BP estimation models should take into account the time shifts between these cardiovascular variables when using RRI for the estimation of SBP and DBP as well as when using PAT for the estimation of DBP.