Answer:
See proof below.
Step-by-step explanation:
If we assume the following linear model:
And if we have n sets of paired observations 
the model can be written like this:
And using the least squares procedure gives to us the following least squares estimates 
for 
and 
for 
:
Where:
Then 
is a random variable and the estimated value is 
. We can express this estimator like this:
Where 
and if we see careful we notice that 
and 
So then when we find the expected value we got:
And as we can see is an unbiased estimator for
In order to find the variance for the estimator we have this:
And we can assume that 
since the observations are assumed independent, then we have this:
And if we simplify we got:
And with this we complete the proof required.
Arrange your given equation to resembles the form
a^2 +2ab+ b^2 because this equals (a+b)^2
So we get:
y^2+16y+8^2=0
Now compare
y^2+16y+8^2 to a^2 +2ab+ b^2
So we got
y^2+2•8 y+8^2=0 which equals (y+8)^2
Graph the equation on a graph then the x intercept will be shown, the x intercept is -2.
Answer:
g(x) = |x-7|+4
Step-by-step explanation:
If we imagine trying to find the vertex of f(x) or the lowest part, we can always input x and y into each equation and see if they equal on either side.
The vertex is at points (7,4)
4=|7-7|+4 : 4=4.
