We square the residuals when using the least-squares line method to find the line of best fit because we believe that huge negative residuals (i.e., points well below the line) are just as harmful as large positive residuals (i.e., points that are high above the line).
<h3>What do you mean by Residuals?</h3>
We treat both positive and negative disparities equally by squaring the residual values. We cannot discover a single straight line that concurrently minimizes all residuals. The average (squared) residual value is instead minimized.
We might also take the absolute values of the residuals rather than squaring them. Positive disparities are viewed as just as harmful as negative ones under both strategies.
To know more about the Least-Squares Line method, visit:
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E and ln are each other's opposite. So the answer is simply 7x
-4 + -3 = -7 Hope this helps!
To solve this, you can do the is over of equals to % over hundred.
is %
__ = ____
of 100
10,000 12
_____ = ____
t 100
1,000,000=12t
__
t=83,333.33
i hope this helps!
