Answer:
look at the explanation
Step-by-step explanation:
in order to create a f(-2) you would need to know either a table of values or an equation to plug values into . . .saying a function of -2 does not really help, sorry
Step-by-step explanation:
First, note that a flexible statistical learning method refers to using models that take into account agree difference in the observed data set, and are thus adjustable. While the inflexible method usually involves a model that has no regard to the kind of data set.
a) The sample size n is extremely large, and the number of predictors p is small. (BETTER)
In this case since the sample size is extremely large a flexible model is a best fit.
b) The number of predictors p is extremely large, and the number of observations n is small. (WORSE)
In such case overfiting the data is more likely because of of the small observations.
c) The relationship between the predictors and response is highly non-linear. (BETTER)
The flexible method would be a better fit.
d) The variance of the error terms, i.e. σ2=Var(ϵ), is extremely high. (WORSE)
In such case, using a flexible model is a best fit for the error terms because it can be adjusted.
To solve this, you first subtract 60 by 18 to get 42
You then divide this by 2 to get 21
So, it'll take 21 minutes
<span><u>Answer
</u>
31.12 in
<u>Explanation
</u>
To get the length required, lets first find angle mF,
mF = 180 – (43 + 62) =75o
Now we can use the sin rule to find length DE.
a/sinA =b/sinB Where a and b are the length opposite to angle A and B respectively.
DE/sin75=22/sin43
DE=(22 sin75)/sin43
DE=31.12 in
</span>
f(x) -g(x) = -3x-5 -(4x-2)
distribute
-3x-5 -4x+2
combine like terms
-7x-3
Answer:
-7x-3
