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.
500 is the answer because 500 is much closer
So remember how you can factor out ones
like (4/8)=(4/4)(1/2)=(1)(1/2)
so first factor each think see if we can simplify any of them

can't
ok so remember division of fractions
(a/b)/(c/d)=(a/b)(d/c)=(ad)/(bc)
invert and multiply
so

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Answer:-3x+5y=15
Step-by-step explanation:-3x+5y=15