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What is a correlation where one set of data values increases as the other decreases?
Wiki User
∙ 10y ago
one set of data values increases as the other decreases
Wiki User
∙ 10y ago
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What does it mean for variables to show correlation?
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
Is negative correlation bad?
No, the "negative" simply refers to the fact that one variable increases as the other decreases.
Difference between positive and negative correlation?
If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.
Can the Value of Pearson correlation coefficient be -1?
Yes.The Pearson correlation coefficient ranges from -1 to 1 inclusive.The sign of the coefficient tells you the kind of correlation:positive: as one variable increases the other also increases (like y = x)negative: as one variable increases the other decreases (like y = -x)0 means no correlation |r| = 1 means perfect correlation
What does it mean if two variables have a negative correlation?
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
What does it mean for variables to show correlation?
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
When there is no relationship between two data sets when one set of data values increases while the other decreases?
negative correlation
What does a correlation of-0.9 mean?
As one variable increases the other variable decreases.
What does a correlation of a -0.9 mean?
As one variable increases the other variable decreases.
What does correlation of -0.9 mean?
As one variable increases the other variable decreases.
What does a correlation of -0.9 mean?
As one variable increases the other variable decreases.
What does a correlation of -0.9 mean?
As one variable increases the other variable decreases.
does The strength of the correlation between two variables depend on the sign of the coefficient of correlation?
No, it depends upon the size of the coefficient of correlation: the closer to ±1 the stronger the correlation.When the correlation coefficient is positive, one variable increases as the other increases; when negative one increases as the other decreases.
What are the relationships of a graph?
I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.
Is negative correlation bad?
No, the "negative" simply refers to the fact that one variable increases as the other decreases.
What are characteristics of negative correlation?
A negative correlation means that two variables are inversely related. This means that as one variable increases the other decreases. When a negative correlation is plotted, it forms a downward slanting line.
What is a no correlation graph?
There are three types of correlation: positive, negative, and none (no correlation).Positive Correlation: as one variable increases so does the other. Height and shoe size are an example; as one's height increases so does the shoe size.Negative Correlation: as one variable increases, the other decreases. Time spent studying and time spent on video games are negatively correlated; as the your time studying increases, time spent on video games decreases.No Correlation: there is no apparent relationship between the variables. Video game scores and shoe size appear to have no correlation; as one increases, the other has no effect. A No Correlation graph would show this.
