The value of the linear correlation coefficient is reported by an investigator to be 0.55. Based on this statistic we can conclude that:
55% of the variability in the predictor can be explained by the variability in the response
55% of the variability in the response can be explained by the variability in the predictor
The probability that a statistically significant linear relationship exists between the response and the predictor is 0.55
30.25% of the variability in the predictor can be explained by the variability in the response
30.25% of the variability in the response can be explained by the variability in the predictor