Reflexive Property of Equality: a=a, b=b, etc.
Your answer would be: 5=5, as that fits the property.
I hope this helps :)
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.
So what you want to do is do long division (using 32.000 divided by 1243.12). You should get this answer:
0.02574
Hope this helped
Answer:
b.
Step-by-step explanation:
Answer:
288
Step-by-step explanation:
There are 8 fluid ounces in a cup so that would equate to
8 x 36 = 288
288 fluid ounces a minute