2007-01-11 04:32:06 · 5 answers · asked by laura r 2 in Science & Mathematics ➔ Mathematics
ok...well both previous answeres are not wrong...but not right either...
you can either have a negative correlation, a zero correlation, or a positive correlation
a zero correlation means that if one thing happens, it has no bearing on whether something else happens...so for instance, you putting on sandals and it raining....they have nothign to do with each other..so they have no, or zero correlation
a negative correlation is if one thing happens, then something else definetly isnt, for instance, it being 90degrees outside, and water freezing, these two things are not going to happen, so they ahve a strong negative correltation
a positive correlation is if one thing happens, then something else is going to happen, it is winter, and your wearing a jacket outside. these two things are very likely to happen, so we would say they ahve a strong positive correlation
so in summary, a strong correlation indicates how likely something is to happen... a strong correlation means something is very likely to happen, or the occurance of two things are greatly related...a weak correlation suggest that two things are not really realted and if one thing happens it doesnt have much affect on a second thing happening (sorta like a zero correlation)
hope this helps
matttlocke
2007-01-11 04:52:49 · answer #1 · answered by matttlocke 4 · 1⤊ 1⤋
Strong Correlation
2016-12-14 17:07:45 · answer #2 · answered by ? 4 · 0⤊ 0⤋
Strong Correlation Definition
2016-11-16 05:57:09 · answer #3 · answered by ? 4 · 0⤊ 0⤋
This Site Might Help You.
RE:
what does a strong correlation suggest?
2015-08-24 14:11:42 · answer #4 · answered by ? 1 · 0⤊ 0⤋
strong correlation suggest
2016-01-28 23:20:12 · answer #5 · answered by Janean 4 · 0⤊ 0⤋
i'm assuming you are talking about correlation in statistics.
a strong correlation means that one value is higly dependant on another. if it is a positive correlation, that means that one one value increases, so does the other. if it is a negative correlation, that means that when one value increases, the other decreases.
correlation should not be confused with causation though. if two values have a correlation, it doesn't mean that one causes the other.
2007-01-11 04:39:20 · answer #6 · answered by Anonymous · 1⤊ 1⤋
Suggest high likelihood of cause and effect OR of necessary codependent conditions for something to occur.
2007-01-11 04:39:46 · answer #7 · answered by ? 6 · 0⤊ 1⤋
Thankyou for the answers everyone xx
2016-08-23 14:56:51 · answer #8 · answered by marilou 4 · 0⤊ 0⤋
Was curious on the answer to this as well
2016-08-08 23:44:39 · answer #9 · answered by Anonymous · 0⤊ 0⤋