Answer:
43
Step-by-step explanation:


We have critical points whenever both partial derivatives vanish:



The Hessian is


At (0,0), we have

, so (0,0) is a saddle point.
At (-1, -1), we have

and

, so (-1, -1) is a local minimum.
At (1, 1), we have

and

, so (1, 1) is also a local minimum.
I don’t understand why people are send files as answers i’m so sorry
Answer:
I don't know
Step-by-step explanation:
thanks for the pints
Answer:
(a). $35746. (b). Higher.
Step-by-step explanation:
(a). Given that the least-squares regression equation is y = 7163x + 14242. Also, in the question above we are given that y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region, that is to say that the value of x = 30.
Therefore, y = 7163x + 14242.
y = (7163 × 30) + 14242.
y = $35746.
(b). The condition for our x is; 28.7 percent of adults 25 years and older have at least a bachelor's degree.
Then, y = (7163 × 28.7) + 14242.
y = $34814.
Hence, we have the median income in this region = $38,163 HIGHER than $34814.