Step-by-step explanation:
To check out how efficient or accurate a model is, we use the akaike information criterion or the Bayesian. If the AIC or BIC are lower, then this model would be better. They are also used to control for model complexity
Akaike information criterion = 2k-2ln where k is the number of parameter. A higher k gives a higher AIC.
In the real world complex models are discouraged and avoided since
1. They cause data to be over fitted and can capture noise and information from this data.
2. They are complex and therefore difficult to interpret
3. They consume a lot of time and computing them has several inefficiencies.
Using these two as measure of performance, we can select optimal choice of independent variable.
With forward/backward regression, we are able to put new variables in the model or remove from it. The best is the one with lowest AIC.
Answer:
12
Step-by-step explanation:
12+15+10+11=48
48/4=12
Percent means parts out of 100
69%=69/100=0.69
'of' means multiply
69% of 80=
0.69 times 80=
55.2
Answer: Point-Form : (2,-1)
Equation Form : x=2, y=-1
Step-by-step explanation: Solve for the first variable in one of the equations, then substitute the result into the other equation.
Hope this helps you out! ☺
There are 5 shelves in the bookcase.
2/5 of one shelve is occupied.
That would be:
2/5*1/5=2/25 of all shelves
7/2 is more than 1, so it refers to the bookcase instead
of one shelve. The same with 11/10.
So the total is:
2/5+7/2+11/10 = 5
So all shelves are completely full.
So there is no room for any other book.
