Statistics Correlation Coefficient
Quiz
•
Mathematics
•
9th Grade
•
Practice Problem
•
Hard
Standards-aligned
Anthony Clark
FREE Resource
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20 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Calculates the Pearson’s sample correlation coefficient of the given data. Show your solution in your answer sheet.
-0.944
-0.499
0.499
0.944
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Based on the description of Correlation Coefficient of the given data. What is the appropriate interpretation? Complete the statement in your answer sheet.
It slightly suggests that the more ___ a student has, the lower is his or her ___.
It slightly suggests that the more ___ a student has, the higher is his or her ___.
It strongly suggests that the more ___ a student has, the lower is his or her ___.
It strongly suggests that the more ___ a student has, the higher is his or her ___.
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following best the describes shape (form) based on the scatter plot of the given data. Explain your answer in your answer sheet.
linear correlation
spatial correlation
ordinary correlation
curvilinear correlation
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following best the describes trend (direction), and variation (strength) based on the scatter plot of the given data. Explain your answer in your answer sheet.
weak negative correlation
strong negative correlation
weak positive correlation
strong positive correlation
5.
DROPDOWN QUESTION
1 min • 1 pt
Data is analyzed comparing hours studied and grades. It is determined that the correlation coefficient is 0.92. This means there is a
(a) between studying and grades.
strong positive correlation
strong negative correlation
weak positive correlation
weak negative correlation
6.
MATCH QUESTION
1 min • 1 pt
Match the following correlation coefficients.
strong positive
-0.25
weak positive
0.48
weak negative
-0.95
strong negative
0.56
7.
DROPDOWN QUESTION
1 min • 1 pt
What's true about r and r2?
All function types
Only linear functions
Tags
R vs R^2
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