Question

b) Calculate the Spearman's rank correlation
X 21 36 42 37 25
Y 47 40 37 42 43​

Answer 1

Answer:

x 67

y 56

I hope this will help you

Answer 2

Answer:

0.03739.

Step-by-step explanation:

A mathematical measure called correlation can be used to assess how closely two variables change. A positive correlation demonstrates how closely those variables rise or fall together. The range in which one variable rises as the other falls is indicated by a negative correlation. In this post, we'll talk about Spearman's Rank Connection, one such correlation. It's critical to comprehend monotonic function in order to comprehend Spearman's rank correlation. A monotonic function is one that, when the independent variable changes, never either rises or decreases. Monotonic Increasing: The variable Y never falls as the variable X rises.

As the variable X rises, the variable Y never rises—this is known as monotonically decreasing.

Not Monotonic: The Y variable sometimes lowers and sometimes grows as the X variable rises.

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