The least squares regression line of mass $y$ (in kg) on height $x$ (in cm) is given by the equation:

$y = 0.682x - 50.750$

This equation describes how mass relates to height, with a slope of approximately $0.682$ kg per cm, and an intercept of approximately $-50.750$ kg.

Would you like a breakdown of these steps or further clarifications?

Here are some related questions:

1. How can we interpret the slope of the regression line?
2. How is the y-intercept meaningful in this context?
3. How would we calculate predicted mass for a height of 160 cm using this regression line?
4. What is the significance of residuals in regression analysis?
5. How do we assess the accuracy of this regression model?

Tip: The slope tells you how much the mass is expected to increase per unit increase in height.