First, a correlation is an indicator of the linear relationship between two events or manifestations. As such, it does not indicate that A causes B or B causes A, but rather that A and B coexists together. A correlation will vary between -1 and +1. A correlation of 0 will mean that there is no relationship between A and B. The closer the correlation is to the extreme, the stronger the relationship is. It is important to note that the sign only indicates whether the relationship is positive or negative. More specific to this question, a positive correlation will mean that as A increases, so does B. For example, perfectionism has been found to be positively correlated to depression. In other words, as the person presents more severe form of perfectionism, he or she will also show more symptoms of depression. This relationship could be represented in a graph as a diagonal line starting low and gradually moving higher as it moves towards the right.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
A positive correlation.
Positive correlation has a positive slope and negative correlation has a negative slope.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
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.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
A positive correlation.
Positive correlation = positive association Negative correlation = negative association
Positive correlation has a positive slope and negative correlation has a negative slope.
positive correlation-negative correlation and no correlation
Positive correlation.Positive correlation.Positive correlation.Positive correlation.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
1.
Positive Correlation
A correlation coefficient of 1 (r=1) is a perfect positive 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.