Positive correletion between x and y means that x=ay+b, with a>0 so tha as y increases, so does the x. Now, negative correlation is the same, but with a<0 so that as y increases, x decreases. You have to be careful with the value of correlation coefficient it takes values in [-1,1]. values near 1(or -1) mean strong positive(or negative for -1) linear relation between x and y.
In science, positive correlation is a general positive slope in something. Often times this is represented with a graph, using many points of data, for instance, height vs age would be a positive correlation. The meaning of positive correlation in both science and math are very, very similar. Only the scenarios they are used in differ.
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It means that the variables are related in some way; one affects the other.
A leg is a limb, it is neither positive or negative.
urease negative
gram positive..
Neither, only bacteria are classified as Gram positive or Gram negative.
Negative. There are VERY few positive feedback mechanisms in the body- the only one i know about is birth. Think of negative feedback and positive as a line.
Positive correlation has a positive slope and negative correlation has a negative slope.
Positive correlation = positive association Negative correlation = negative association
A positive correlation.
positive correlation-negative correlation and no correlation
It's a negative correlation because it is less than 0
I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.
Positive correlation = the slope of the scattered dots will rise from left to right (positive slope) Negative correlation = the slope of the scattered dots will fall from left to right (negative slope) No correlation = no real visible slope, the dots are too scattered to tell.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
a correlation on a graph is when the line of best fit is positive, negative or none.
no correlation.
If the data have a positive or negative correlation, it means the data have a linear relationship in the form of an equation of a line; or Y = mX + b.