Answer:
57
Step-by-step explanation:
Answer:
A line fitted to data points that minimizes the sum of the squared residuals
Step-by-step explanation:
The principle of least square(LS) consists of determining the values of the unknown parameters that will minimize the sum of squares of errors (or residuals) where errors are defined as the differences between observed values and the corresponding values predicted or estimated by the fitted model equation.
Thus, the correct definition of least square regression line is "<em>A line fitted to data points that minimizes the sum of the squared residuals</em>"
Answer:
3/4
Step-by-step explanation:
Answer:
1.31, 0.19 to nearest hundredth.
Step-by-step explanation:
1/x + 1/(x - 1) = 4
Multiply through by x(x - 1):-
x - 1 + x = 4x(x - 1)
4x^2 - 4x = 2x - 1
4x^2 - 6x = -1
4(x^2 - 3.2 x) = -1
Completing the square:-
4 [ ( x - 3/4)^2 - 9/16] = -1
4(x - 3/4)^2 - 9/4 = -1
4(x - 3/4)^2 = 5/4
(x - 3/4)^2 = 5/16
x - 3/4 = +/- √5 / 4
x = √5 / 4 + 3/4 , -√5 / 4 + 3/4
= 1.31, 0.19 to nearest hundredth.
