Final answer:
The slope represents the rate of change, the y-intercept represents the value at zero weight, the correlation coefficient measures the strength and direction of the relationship, and the standard deviation measures the spread of the data points.
Step-by-step explanation:
The slope represents the rate of change between the weight and the average heart rate. It measures how much the average heart rate changes for each unit increase in weight. The y-intercept represents the value of the average heart rate when the weight is zero.
The correlation coefficient measures the strength and direction of the linear relationship between the weight and the average heart rate. It ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.
The standard deviation measures the spread of the data points around the regression line. A smaller standard deviation indicates that the data points are closer to the regression line, suggesting a better fit.