Match the pairs of variables with the type of relationship they show. (correlation, no relationship, causation ) an increase in the population and an increase in the number of jobless people a growth in the literacy rate and an increase in the number of doctors an increase in snowfall and an increase in personal income

A) Causation

B) Correlation

C) No relationship

Step-by-step explanation:

Correlation : Correlation means there is a  mutual relationship or connection between two or more things.

Causation : Causation is the action of causing something.

No relationship : No. relationship means when there is not relation between two things.

Option A) an increase in the population and an increase in the number of jobless people

Since increase in the number of people leads to increase in the number of jobless people

So, unemployment is caused by increase in population.

Thus there is a causation relationship between an increase in the population and an increase in the number of jobless people.

Option B) a growth in the literacy rate and an increase in the number of doctors

Increase in the number of doctors means more the literate people.

Since growth in in the literacy rate leads to an increase in the number of doctors

So,  growth in the literacy rate and an increase in the number of doctors shows correlation.

Option C) an increase in snowfall and an increase in personal income

Since increase in snow fall is no where related to the income.

So, There is no relationship between an increase in snowfall and an increase in personal income

your answer would be 10x - 1

idk

step-by-step explanation: