Answer:
Step-by-step explanation:
A direct variation equation is of the form
y = kx,
where, in words, it reads "y varies directly with x" or "y varies directly as x". In order to use this as a model, we have to have enough information to solve for k, the constant of variation. The constant of variation is kind of like the slope in a straight line. It rises or falls at a steady level; it is the rate of change.
We have that a vet gives a dose of three-fifths mg to a 30 pound dog. If the dose varies directly with the weight of the dog, then our equation is
d = kw and we need to find k in order to have the model for dosing the animals.

Divide both sides by 1/30 to get k alone.
and

Our model then is

This means that for every pound of weight, the dog will get one-fiftieth of a mg of medicine.
Answer:
Slope is going to be the "M" or gradient of the line. It represents the change in the Y value over time as the line continues. It tells you how high or low it points depending on what the slope is.
Thanks for letting me help!!
The difference in the two are that the neural network can do multiply tu hinge at the same time while the computer network is like a regular basic computer while the neural network is more advanced
3:5
The ratio before simplifying was 6:10
6:10 is the same as 3:5