Answer:
80.00%
Step-by-step explanation:
Answered By Huntermike976
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Critical points occur where the gradient is zero. This is guaranteed whenever

and either

or

.
The Hessian matrix for this function looks like

and has determinant

Maxima occur whenever the determinant is positive and

. Minima occur whenever both the determinant and

are positive. Saddle points occur whenever the determinant is negative.
At

, you have a saddle point since the determinant reduces to -324, so

is the saddle point.
At

, the determinant is

and

, so

is a local maximum.
No other critical points remain, so you're done.
Answer:♀️
Step-by-step explanation:
Answer:
B. <u>the distributive property</u>
Step-by-step explanation:
<u>Distributive </u><u>property</u> can be used to expand the expression -2(3/4x+7).
When that property is used, we need to distrubute the monomial to the binomial which is the two terms.

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