The statements which is false about the volume of ice cubes versus temperature graph is the correlation coefficient is close to zero.
What is the correlation coefficient?
Correlation coefficient is used to calculate how strong the relationship is between the two variables.
When there is a statistical relationship between two or more variables, then they are said to be in correlation.
Types of correlation-
- Positive correlation coefficient- When the value of correlation coefficient is positive, then the value of one variable increases with increase in other variable.
- Negative correlation coefficient- When the value of correlation coefficient is negative, then the value of one variable decreases with increase in other variable.
The graph shows a volume of ice cubes versus temperature in degrees Celsius.
For a perfect correlation, -1 or +1 values is ideal. Here, some relation can be seen in a negative straight line, which suggest that the correlation coefficient is not close to zero.
Both volume and temperature has strong correlation for linear line where, temperature is the explanatory variable.
Thus, the statements which is false about the volume of ice cubes versus temperature graph is the correlation coefficient is close to zero.
Learn more about the correlation coefficient here;
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