Answer: 1. put her insertion point at the end of item 2b. 2. press enter key
The correlation that is obtained when the pearson correlation is computed for data that have been converted to ranks is option A) The Spearman correlation.
<h3>What is Spearman correlation used for?</h3>
Spearman's correlation is known to be one that tends to look into or measures the strength and way of monotonic relationship between two variables.
It is one that is a nonparametric measure that is often known to be rank correlation and it tends to examine how well the association between two variables can be said to using a monotonic function.
Hence, The correlation that is obtained when the pearson correlation is computed for data that have been converted to ranks is option A) The Spearman correlation.
Learn more about correlation from
brainly.com/question/12479370
#SPJ4
See full question below
) What correlation is obtained when the Pearson correlation is computed for data that have been converted to ranks?
A) The Spearman correlation
B) The point-biserial correlation
C) The phi coefficient
D) It is still called a Pearson correlation
Answer:
Devastating Vocal Xcellence
Explanation:
Using the python code we can say that it will be possible to calculate the neutrons and organize them as:
<h3>The code can be written as:</h3>
<em>def get_total_derivative(self,l_id):</em>
<em>def sigmoid(x, div = 0):</em>
<em>if div == 1: </em>
<em>return np.exp(-x) / (1. + np.exp(-x))**2.</em>
<em>if div == 2: </em>
<em>return - np.exp(x) * (np.exp(x) - 1) / (1. + np.exp(x))**3.</em>
<em>return 1. / (1. + np.exp(-x)) </em>
<em />
<em>def linear(x, div = 0):</em>
<em>if div == 1: </em>
<em>return np.full(x.shape,1)</em>
<em>if div > 2: </em>
<em>return np.zeros(x.shape)</em>
<em>return x </em>
<em />
<em />
<em />
See more about python at brainly.com/question/18502436
#SPJ1
