Final answer:
The equation of the least-squares regression line for predicting the chick's mass from the breadth of the egg is y = 1.9x - 44.9.
Step-by-step explanation:
The equation of the least-squares regression line for predicting the chick's mass from the breadth of the egg can be found using the formula:
y = bx + a
Where b is the slope and a is the y-intercept.
Given the summary statistics, we have:
mean x = 41
mean y = 33.6
standard deviation of x = 2.3
standard deviation of y = 4.6
correlation coefficient r = 0.95
To find the slope, we can use the formula:
b = r * (Sy / Sx)
Substituting the values, we get:
b = 0.95 * (4.6 / 2.3) = 1.9
To find the y-intercept, we can use the formula:
a = mean y - (b * mean x)
Substituting the values, we get:
a = 33.6 - (1.9 * 41) = -44.9
Therefore, the equation of the least-squares regression line is:
y = 1.9x - 44.9