Podcast
Questions and Answers
What does correlation measure?
What does correlation measure?
- The difference between two categorical variables
- The standard deviation of two continuous variables
- The average of two continuous variables
- The closeness of association between two continuous variables (correct)
A correlation coefficient of 0 indicates a perfect correlation.
A correlation coefficient of 0 indicates a perfect correlation.
False (B)
What range of values can the correlation coefficient 'r' take?
What range of values can the correlation coefficient 'r' take?
Between +1 and -1
If 'r' is near 1, there is a ________ correlation.
If 'r' is near 1, there is a ________ correlation.
Match the correlation coefficient value to its interpretation:
Match the correlation coefficient value to its interpretation:
In negative correlation, what happens when one variable increases?
In negative correlation, what happens when one variable increases?
Studying the relation between age and height in adults is a suitable example of correlation.
Studying the relation between age and height in adults is a suitable example of correlation.
What type of data is used when establishing correlation?
What type of data is used when establishing correlation?
If r is _______ there is no correlation between the variables
If r is _______ there is no correlation between the variables
Which value of 'r' represents the strongest correlation?
Which value of 'r' represents the strongest correlation?
A positive correlation indicates that the variables are unrelated.
A positive correlation indicates that the variables are unrelated.
Give one example of variables that might display a positive correlation.
Give one example of variables that might display a positive correlation.
If 'r' is positive, the correlation has a _______ direction
If 'r' is positive, the correlation has a _______ direction
Which of following values of 'r' indicates the weakest correlation?
Which of following values of 'r' indicates the weakest correlation?
If one variable decreases as the other increases, this indicates a positive correlation.
If one variable decreases as the other increases, this indicates a positive correlation.
Correlation measures the closeness of association between how many variables?
Correlation measures the closeness of association between how many variables?
A correlation coefficient of -1 represents a perfect ________ correlation.
A correlation coefficient of -1 represents a perfect ________ correlation.
Which of the following graphs does not show a correlation?
Which of the following graphs does not show a correlation?
Correlation implies causation
Correlation implies causation
In the correlation example described in the provided text, the age of the children is less than how many years?
In the correlation example described in the provided text, the age of the children is less than how many years?
Flashcards
Correlation
Correlation
Measures the closeness of association between two continuous variables in the same subjects using correlation coefficient.
If r = 1
If r = 1
There is a perfect positive correlation.
If r = 0
If r = 0
There is no correlation between the variables
r = near zero
r = near zero
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r = near 1
r = near 1
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r = +
r = +
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r = -ve
r = -ve
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Study Notes
- Correlation measures the closeness of association between two continuous variables in the same subjects using the correlation coefficient.
- An example includes studying the relationship between age and weight in children younger than 5 years old when asking about the presence of a relationship between two quantitative data points.
Correlation 'r' Values
- The 'r' value ranges between +1 and -1.
- If r = 1, is considered a perfect correlation.
- If r = 0, indicates no correlation.
- An 'r' value near zero indicates a weak correlation.
- An 'r' value near 1 indicates a strong correlation.
- If r is positive (r = +), it indicates a positive direction of correlation, so that when one variable increases, the other increases.
- If r is negative (r = -ve), it indicates a negative direction of correlation, so that when one variable increases, the other decreases.
Correlation Types
- Positive Correlation: As one variable increases, the other tends to increase.
- Negative Correlation: As one variable increases, the other tends to decrease.
- No Correlation: There is no apparent relationship between the two variables.
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