2011-03-25 05:36:00 UTC
positive correlation ex: The INCREASE of algae in the lake caused an INCREASE of a certain species of algae eating fish.
* negative correlation – a relationship between two variables in which when one of the variables increase, the values of the second variable decrease, or visa versa
negative correlation ex: People who consume MORE vitamin D have colds LESS often.
* perfect correlation – when a change in the value of one variable occurs, the value of the next variable is changed in exact proportion, whether it’s a negative or positive correlation
perfect positive correlation ex: When the lizard doesn’t drink any liquids in a single day it doesn’t produce any urine during that day.
perfect negative correlation ex: For ever one person occupying a seat on the bus there is one seat that is no longer available.
* strong correlation – where the variables are sensitive to each others changes or behavior, and measure more closely together; strong correlation can occur in positive and negative correlation
strong positive correlation ex: The more time people spend in the sun the darker their tans get.
strong negative correlation ex: The more the family rides their bikes the less gas they need to buy for their cars.
* weak correlation – where the relationship between variables are rather disperse, but still have a generally relationship. and measure more closely together; strong correlation can occur in positive and negative correlation
weak positive correlation ex: The bigger kids’ noses are the more they get bullied.
weak negative correlation ex: Towns with more littering in their streets have less public trash cans available.
* no correlation – when there is no relationship between variables.
no correlation ex: A comparison between the number of car wreaks there are each day with the most common color tie men wear.