## The Basic Practice of Statistics 7th Edition

$b = r\frac{s_{y}}{s_{x}} = (0.448)\frac{8.69}{0.045} = 86.5138$ a = ȳ - bx̄ = 65.90 - 86.5138 (0.649) = 9.7525 General least square regression line is: ŷ = a + bx = 9.7525 + 86.5138x
$b = r\frac{s_{y}}{s_{x}} = (0.448)\frac{8.69}{0.045} = 86.5138$ a = ȳ - bx̄ = 65.90 - 86.5138 (0.649) = 9.7525 General least square regression line is: ŷ = a + bx = 9.7525 + 86.5138x