(1) Compute the coefficient matrix XT X for the normal equations, and save its value as normal_coef1. Recall, the transpose of a NumPy array A can be obtained by np. transpose(A), while the matrix produce of two (appropriately- sized) NumPy arrays A and B is obtained by np. matmul(A, B) or [email protected] (2) Compute the right-hand side XT Y of the normal equations, and save its value as normal_vect1.

what does muffins have to do with anything?

step-by-step explanation:

correct answer:

b.(19,-2)

step-by-step explanation:

a cube has 6 sides

the probability of getting 5 on the first cube is 1/6 since only one side of the cube has 5 on it.

there are 3 sides of the cube with even number on it [2,4,6]

therefore the probability of getting even number is 3/6

for both events to happen together, the probability would be

1/6 x 3/6 = 12/36

which simplifies to 1/12