Certainly. It could, for example, be a power relationship such as y = x^3
None.
Can you split the name of this up somehow when you resubmit your question, so that an answerer can attempt to use the search facility on photobucket.com?
A correlation exists in a scatter plot if there is a general trend in the outputs as inputs increase. If the outputs generally increase in value, then there is a positive correlation. If the outputs generally decrease in value, then there is a negative correlation.
An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations
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 trend that decreases downward in a scatter plot.
you graph the points going downwards
negative
If Y increases as X increases, you are referring to a positive correlation. However, if Y falls as X increses, you have a negative correlation.
Only ever use the scatter plot if the outcome is positive, otherwise use non sequential theory to bring about the required outcome. Say, the nonquotient is the same value. Then try the next scatter.
A scatterplot with no correlation means that there is no relation between the two categories, a negative correlation means that the two categories have a relationship that as one gets greater the other gets smaller
The line that connects the dots is relatively straight.