That's a question that can only really be answered via a study. Take a random sample of people (from your school for example) and plot their weight against their average daily walking distance (you may have to make your subjects carry a pedometer during the study period). Do you see a negative relationship on the graph?
As a second step, calculate the correlation coefficient. As negative correlation gets stronger the correlation coefficient will get closer to -1.
Positive correlation has a positive slope and negative correlation has a negative slope.
Yes
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
Between -1 and 0.
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.
No. "Negative correlation" means no relationship can be found between the two quantities. But in the case of the gravitational force, there is a definite, bullet-proof, mathematical connection between the distance and the force. Since a greater distance leads to a smaller force, the relationship is said to be "inverse", but the correlation is definitely not "negative".
Positive correlation has a positive slope and negative correlation has a negative slope.
If these were weights of people then it suggests that the heavier the people the shorter the distance they were willing (or able!) to walk.
negative correlation
Negative
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
I would assume a negative correlation. More TV sets per home = less newspaper circulation.
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.
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".
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.
Correlation between neurotic ism and fear of negative evaluation abstracts?