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A positive value for a correlation indicates?
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
Is certain a negative connotation or positive correlation?
A positive correlation.
What is significance of correlation?
it shows any pattern that may emerge in any given set of date, this includes a positive or negative correlation. positive where a gradient goes from low to high negative where a gradient goes from high to low
What is the difference between positve and negative correlation?
Positive correlation has a positive slope and negative correlation has a negative slope.
When you have a scatter plot and you have to choose a correlation I know Positive Negative and no correlation are options Is moderate correlation an option?
Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.
What shows a correlation which may be positive or negative between two sets of data?
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.
What is the range of correlation coefficient and what does its value tell?
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.
A positive value for a correlation indicates?
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
Is certain a negative connotation or positive correlation?
A positive correlation.
What is significance of correlation?
it shows any pattern that may emerge in any given set of date, this includes a positive or negative correlation. positive where a gradient goes from low to high negative where a gradient goes from high to low
What does the sign of the correlation coefficient tell you about the association?
Positive correlation = positive association Negative correlation = negative association
What is the difference between positve and negative correlation?
Positive correlation has a positive slope and negative correlation has a negative slope.
What are three types of correlations?
positive correlation-negative correlation and no correlation
What is a correlation where both sets of data values increase or decrease together?
Positive correlation.Positive correlation.Positive correlation.Positive correlation.
What is a correlation statement?
a correlation statement is a sentence that says whether the points on a scatterplot have a positive, negative or no correlation.ex. This graph shows a negative correlation, as the number of cows increases (x axis data) the profitability decreases (y axis data).
Is 0.5 the strongest correlation coefficient?
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
When you have a scatter plot and you have to choose a correlation I know Positive Negative and no correlation are options Is moderate correlation an option?
Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.
