Question

The relationship between two variables is positive when​ ________

Answer 1

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 2

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".