In terms of strength of association, how do you compare the Scatterplot I with II?
Capstone CO1 Quiz

Quiz
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Other
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12th Grade
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Medium
Norene Ponce
Used 1+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The strength of association in Scatterplot I is greater.
The strength of association in Scatterplot II is greater.
The strength of association in the scatterplots is the same.
The strength of association in the scatterplots cannot be compared from the information.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the direction of the scatter plot 1?
Positive
Negative
Both A and B
Neither A or B
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary difference between a "relationship" and "correlation"?
A relationship measures the strength of an interaction, while correlation shows if two variables change together.
A relationship refers to a causal connection, while correlation only measures a non-causal link between two variables.
A relationship involves two variables, while correlation only involves one variable.
There is no difference; the terms are interchangeable.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is true about correlation?
Correlation shows that one variable causes the other to change.
Correlation measures the strength and direction of a relationship between two variables.
A correlation of 0 means that the two variables are perfectly correlated.
Correlation can only be positive, never negative.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of a hypothesis?
"There is a relationship between the number of hours studied and the test score."
"The more hours a student studies, the higher their test score will be."
"Test scores increase with more hours studied."
"The relationship between study time and test scores is measured using Pearson’s r."
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Correlation always implies that one variable causes the other to change.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The terms "variables" and "hypotheses" are fundamental in understanding how correlation is used in research.
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