The runner's data reveals a positive correlation between time and both distance and elevation. As time increases, the runner covers more distance and ascends to higher elevations.The true statement is that both distance and elevation are positively correlated with time.
The data in the table represents a runner's performance over time. As time is the independent variable, we observe a direct relationship between time and the dependent variables, distance, and elevation. The runner's distance covered increases steadily with each time interval, indicating a positive correlation.
Simultaneously, the elevation also rises progressively, suggesting an ascent in the runner's path.
The runner is covering more distance and ascending to higher elevations as time advances.
This scenario aligns with a runner gradually increasing both the horizontal and vertical components of their path, showcasing a consistent and positive relationship between time and the variables.