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

1. increase in population and increase in jobless = causation

2. increase in snow fall and increase in personal income = no relationship

3. increase in literacy rate and increase in doctors = correlation

Step-by-step explanation:

1. people without jobs is CAUSED by a population spike

2. weather cannot affect your paycheck, so no relationship

3. more doctors means they scored higher on literacy, but it's iffy so correlation

Hope this helps :)

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step-by-step explanation: