The answer is six equal sized links because two, three, and six, are all factors of six.
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 find the slope use the formula
Y2-Y1
---------
X2-X1
(-1,-4) (1,4)
4- -4 = 8
-------------
1- -1 = 2
8/2=4 This will be your slope
Y=4x
Now we must figure out the y-intercept using the formula
Y-y1=slope(x-x1)
Y- -4= 4(x- -1)
Y+4= 4x + 4 The 4 distributes to the x and -1
Y=4x +4
-4
Y= 4x
This is your answer in slope intercept form.
P.S if you have a number minus a negative number it makes it a positive number
Answer:
A
Step-by-step explanation:
If you have to add 2 to X to get it back to the original, it started out 2 to the left. (It would seem like it ought to be C, but when you add an subtract from the x value in functions, it's opposite of what you might think.)
