Answer:
a. This data best fits an exponential model.
b. The regression equation would be: y = 8385(1.12)^x
c. The y-intercept would be the starting value of the account.
d. Yes, the correlation coefficient is 0.9983.
e. If you input 6 into the equation, you will get a value of $16,550.
Step-by-step explanation:
I hope this helps, and I would appreciate the brainiest asap.
Question: If the subspace of all solutions of
Ax = 0
has a basis consisting of vectors and if A is a matrix, what is the rank of A.
Note: The rank of A can only be determined if the dimension of the matrix A is given, and the number of vectors is known. Here in this question, neither the dimension, nor the number of vectors is given.
Assume: The number of vectors is 3, and the dimension is 5 × 8.
Answer:
The rank of the matrix A is 5.
Step-by-step explanation:
In the standard basis of the linear transformation:
f : R^8 → R^5, x↦Ax
the matrix A is a representation.
and the dimension of kernel of A, written as dim(kerA) is 3.
By the rank-nullity theorem, rank of matrix A is equal to the subtraction of the dimension of the kernel of A from the dimension of R^8.
That is:
rank(A) = dim(R^8) - dim(kerA)
= 8 - 3
= 5
I believe the answer is 120. 3 5/6 turns into 3.833 when turned into a decimal. 3.833 would round up to 4 which is the nearest whole number. 34 3/7 would turn into 34.4285 as a decimal which turns into 30 when rounded to the nearest ten.
Answer:
B: (2,[infinity]]
Step-by-step explanation:
because you will take all numbers bigger than 2 but 2 is not included
