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Any graph where, from left to right, the slope goes upward (assuming the axes are labelled in the standard way).


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Q: Which graph shows a positive correlation between x and y?
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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 relationship between temperature and solubility does this graph reveal?

The graph likely shows that as temperature increases, the solubility of the substance increases as well. This suggests a positive correlation between temperature and solubility.


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.


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).


What are the disadvantages of a scatter graph?

A scatter graph may use a positive correlation or negative correlation, to shows points of the graph in either a dipping or climbing line, and is fairly easy to read the data. A zero correlation is when the points are scattered across the graph and this can make seeing the data difficult. It's a bit like "dot to dot" in a children's puzzle book, but without the numbers at the side of the dots!


A graph of boyles law shows the relationship between?

a graph law graph shows the relationship between pressure and volume


What is a line that shows the correlation between two data sets called?

There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.


What does a cumulative frequency graph show?

It shows the correlation presented between the frequency something was brought ( or what ever it is that is being measured,) and compare this to how much/ often this was sold, made, etc.


What is the difference between a pie graph and a bar graph?

a pie graph shows percentages and a bar graph shows numbers and amounts


If a graph of distance versus time is a straight line the graph shows what relationship?

it is a positive relationship


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.


When an experiment shows that two variable are closely related that experiment shows?

that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.