Multiply 8 to 4x and 7 so it looks like 32x +56=56 then you subtract 56 from to 56 which equals zero. Your equation should look like 32x=0. Divide 32 by 0 which equals 0. X=0
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.
Answer:
bjugb k
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Answer:
y-1=-7/2*(x+3)
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Answer:
The answer to this question is 1131 pie cubic centimeters..... Hope it helps!
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