If the temperature decreasing in New York leads to the number of people wearing sweaters increasing, this is <u>Negative </u>correlation.
There are several types of correlation:
Positive correlation - An increase in one variable leads to an increase in another variable and vice versa
Negative correlation - An increase in one variable leads to a decrease in another variable and vice versa
Zero correlation - Variables don't change in relation to one another
In this scenario we notice that when temperatures decreased, people wearing sweaters increased. This is therefore negative correlation as the variables moved in opposite directions.
In conclusion, what was observed is negative correlation.
