It would be y=-1/3+1
Hope I helped :3
Answer:
D
Step-by-step explanation:
Accuracy refers to how close measurements are to the "true" value (which is the target in this case), while precision refers to how close measurements are to each other.
Since the arrows fall away from the bullseye and are spread out I would classify this as low accuracy and low precision.
Answer:
See proof below.
Step-by-step explanation:
True
For this case we need to use the following theorem "If are eigenvectors of an nxn matrix A and the associated eigenvalues are distinct, then are linearly independent". Now we can proof the statement like this:
Proof
Let A a nxn matrix and we can assume that A has n distinct real eingenvalues let's say
From definition of eigenvector for each one needs to have associated an eigenvector for
And using the theorem from before , the n eigenvectors are linearly independent since the are distinct so then we ensure that A is diagonalizable.
Step-by-step explanation:
if you call this limit to f(x), by the definition of derivatives f(x)=h'(x) such that
then f'(x)=h''(x) then