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.
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Step-by-step explanation:
are this form 1 question??
Answer:
1. 3/2
Domain =
-3, -2, 1, 4
Range =
-4, -2, 0, 3, 5
no it is not a function
Step-by-step explanation:
Answer:
P=2.25x-----------1
M=2.25y----------2
Step-by-step explanation:
Step one:
given data
we are told that the cost of pears= $2.25 each
and cost of mango= $2.25 each
Step two:
the chef bought x pears and y mangoes
let the total cost of pears be P
and for mango be M
P=2.25x-----------1
M=2.25y----------2
Answer:
Therefore values of a and b are
Step-by-step explanation:
Rewrite 
in the form
where a and b are integers,
To Find:
a = ?
b = ?
Solution:
..............Given
Which can be written as
Adding half coefficient of X square on both the side we get
...................( 1 )
By identity we have (A - B)² =A² - 2AB + B²
Therefore,
Substituting in equation 1 we get
Which is in the form of
On comparing we get
a = 3 and b = 2
Therefore values of a and b are
