Respuesta :
Answer:
The relationship between two variables is positive when _increase in one causes the increase in the other._______
Step-by-step explanation:
in statistics two variables may be associated or not associated. Normally we define variables as x and y.
If change of x does not affect value of y, then we can say there is no relationship between x and y.
Examples are a person Intelligence quotient and height, a vehicle's weight and its speed, etc.
Sometimes one variable affects another.
Examples are no of hours studied and scores obtained.
Exercises done and health condition etc.
If increase of x causes increase of y then the relationship is positive.
Instead if increase of one variable causes decrease of other variable then the relationship is negative
So
The relationship between two variables is positive when _increase in one causes the increase in the other._______
Answer:
The relationship between two variables is positive when the variables are directly proportional.
Step-by-step explanation:
We have been given an incomplete statement. We are supposed to complete the given statement.
Statement: The relationship between two variables is positive when ________.
We know that the relation two variables is positive, when both variables are directly proportional.
In direct proportionality if one variable increases, the other one also increases. A positive relation also exists in one decreases and the other also decreases.
Therefore, the correct word for our given statement is "directly proportional".
