The correlation coefficient helps us to know how strong is the relation between two variables. The situations in which there exists a negative relationship are A and E.
What is the correlation coefficient?
The correlation coefficient helps us to know how strong is the relation between two variables. Its value is always between +1 to -1, where, the numerical value shows how strong is the relation between them and, the '+' or '-' sign shows whether the relationship is positive or negative.
- 1 indicates a strong positive relationship.
- -1 indicates a strong negative relationship.
- A result of zero indicates no relationship at all, therefore, independent variable.
A negative correlation is a relation in which as one variable increases the other decreases, therefore, there exists an inverse relationship between the two varibles.
A.) The number of calories consumed and the amount of weight lost by a person
It is known that if a person consumes more calories then he will gain more weight, therefore, the number of calories consumed and the amount of weight lost by a person have a negative correlation.
B.) The temperature outside and the number of pool guests.
If the temperature outside is more, more people will come to visit the pool. Thus, there exists a positive correlation.
C.) The number of children assigned to a class and the number of desks
The more the number of students, the more desk will be needed for them. Thus, there exists a positive correlation.
D.) The price of rice and the number of penguins at the South Pole.
The price of rice and the number of penguins at the south pole are two completely independent variables, therefore, there exists zero correlation.
E.)The thickness of the ice on a lake and the likelihood of falling through the ice.
If the thickness of the ice on a lake is more, there will be less likelihood of falling through the ice. Therefore, there exists a negative correlation.
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