Answer:
C. Make the slide image large so the charts can be seen clearly.
Explanation: Edg
Answer:
Written in Python
import math
principal = 8000
rate = 0.025
for i in range(1, 11):
amount = principal + principal * rate
principal = amount
print("Year "+str(i)+": "+str(round(amount,2)))
Explanation:
This line imports math library
import math
This line initializes principal amount to 8000
principal = 8000
This line initializes rate to 0.025
rate = 0.025
The following is an iteration from year 1 to 10
for i in range(1, 11):
This calculates the amount at the end of the year
amount = principal + principal * rate
This calculates the amount at the beginning of the next year
principal = amount
This prints the calculated amount
print("Year "+str(i)+": "+str(round(amount,2)))
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
its not simple nothing never is deleted from online posts or photos