Which of the following statements about eigen-decomposition and singular value decomposition are incorrect(MULTI)? A. Singular value decomposition can decompose a matrix into the product of three matrices. B. Singular-value matrices must be square matrices, and singular values are arranged in descending order. C. Eigen-decomposition decomposes a matrix into a group of products of eigenvectors and eigenvalues. D. Eigenvalue decomposition can be performed on a non-square matrix.

76%

step-by-step explanation:

24% are dogs and the remaining is 76% because 100-24=76

for this case we have by definition, if two lines are perpendicular, then the product of their slopes is -1.

then, given the following line:

so,

we are looking for m_ {2}:

then, the line is given by:

we find "b" replacing the given point:

finally, the equation is:

option c

47.28 or 47.2857143

step-by-step explanation:

you just divide 331 by 7 and you get that answer. ( i think so tho)

b

step-by-step explanation: