Try these practice examples that deal with different types of correlations.
In each row of the table, you'll be given a scatter plot and the correlation coefficient for the data.
Correlation coefficient = -0.16
- Weak Positive
- Weak Negative
- Strong Positive
- Strong Negative
This is a weak negative correlation. There does not seem to be a strong relationship between outside temperature and flower sales.
This is a weak negative correlation. There does not seem to be a strong relationship between outside temperature and flower sales.
This is a weak negative correlation. There does not seem to be a strong relationship between outside temperature and flower sales.
This is a weak negative correlation. There does not seem to be a strong relationship between outside temperature and flower sales.
Correlation = -0.98
- Weak Positive
- Weak Negative
- Strong Positive
- Strong Negative
This is a strong negative correlation. There seems to be a strong negative correlation between coat sales and outside temperature. The hotter it is outside, the fewer coats are sold.
This is a strong negative correlation. There seems to be a strong negative correlation between coat sales and outside temperature. The hotter it is outside, the fewer coats are sold.
This is a strong negative correlation. There seems to be a strong negative correlation between coat sales and outside temperature. The hotter it is outside, the fewer coats are sold.
This is a strong negative correlation. There seems to be a strong negative correlation between coat sales and outside temperature. The hotter it is outside, the fewer coats are sold.
Correlation = 0.56
- Weak Positive
- Weak Negative
- Strong Positive
- Strong Negative
This is a weak positive correlation. This data shows that there seems to be a weak positive correlation between outside temperature and hamburger sales. According to this data, people tend to buy more hamburgers in warm weather, but not in really hot weather.
This is a weak positive correlation. This data shows that there seems to be a weak positive correlation between outside temperature and hamburger sales. According to this data, people tend to buy more hamburgers in warm weather, but not in really hot weather.
This is a weak positive correlation. This data shows that there seems to be a weak positive correlation between outside temperature and hamburger sales. According to this data, people tend to buy more hamburgers in warm weather, but not in really hot weather.
This is a weak positive correlation. This data shows that there seems to be a weak positive correlation between outside temperature and hamburger sales. According to this data, people tend to buy more hamburgers in warm weather, but not in really hot weather.
Correlation = 0.95
- Weak Positive
- Weak Negative
- Strong Positive
- Strong Negative
This is a strong positive correlation. There seems to be a strong positive relationship between outside temperature and ice cream cone sales. The hotter it gets, the more ice cream is sold.
This is a strong positive correlation. There seems to be a strong positive relationship between outside temperature and ice cream cone sales. The hotter it gets, the more ice cream is sold.
This is a strong positive correlation. There seems to be a strong positive relationship between outside temperature and ice cream cone sales. The hotter it gets, the more ice cream is sold.
This is a strong positive correlation. There seems to be a strong positive relationship between outside temperature and ice cream cone sales. The hotter it gets, the more ice cream is sold.
Summary
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