Answer:
b or c
Step-by-step explanation:
Step-by-step explanation:
(3x-2y)³=5³
(3x)³-3(3x)².2y+3.3x.(2y)²-(2y)³=125
27x³-54x²y+36y²x-8y³=125
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.
