The equation of the least-squares regression line for predicting the chick's mass from the breadth of the egg is: y = -24.9 + 1.90 * x, where y represents the chick's mass and x represents the egg breadth.
To find the equation of the least-squares regression line for predicting the chick's mass from the breadth of the egg, we can use the following steps:
1. Determine the slope of the regression line (b):
- The slope (b) can be calculated using the formula: b = r * (s_y / s_x), where r is the correlation coefficient,
is the standard deviation of the chick's mass, and
is the standard deviation of the egg breadth.
- Plugging in the given values, we have: b = 0.95 * (4.6 / 2.3) = 1.90.
2. Determine the y-intercept of the regression line (a):
- The y-intercept (a) can be calculated using the formula:
is the mean of the chick's mass, and
is the mean of the egg breadth.
- Plugging in the given values, we have: a = 33.6 - 1.90 * 41 = -24.9.
3. Write the equation of the least-squares regression line:
- The equation of the regression line is given by: y = a + b * x, where y represents the chick's mass and x represents the egg breadth.
- Plugging in the values we calculated, we have: y = -24.9 + 1.90 * x.