X-intercepts: (3,0),(1,0)
Y-intercept: (0,3)
It's called the least squares method because the parameters of the regression line are adjusted in such a way that the sum of squares of the difference (between the actual and predicted values) is a minimum.
Answer:
-4x^2-11x+13
Step-by-step explanation:
(-x^2+9)+(-3x^2-11x+4)
-x^2+9-3x^2-11x+4=
-4x^2-11x+13
(z+7)^2=3
z^2+14z+46=0
z={-14+-√(14^2-4.1.46)}/2.1
=-14+-√(196-184)/2
=-14+-√12/2
=-14+-2√3/2
=-7+-√3
so it is,
z=-7+√3
or,
z=-7-√3
