Let x ∈ r n×p be a n × p matrix and y ∈ r n . the gaussian linear model with known variance σ 2 > 0 is defined as p = {normaln(xθ, σ2 in) | θ ∈ r p } , where normaln denotes the n-variate gaussian distribution. (a) prove that θ is identifiable if and only if x has full column rank

idk

step-by-step explanation:

i don't know

the answer will be b x² +x-1

step-by-step explanation:

the answer is:

the correct option is the option b.

to calculate the surface area of the right cylinder, we need to use the following formula:

from the picture we know that:

so, substituting and calculting we have:

hence, we have that the correct option is the option b.

have a nice day!