It is easy to find the correlation. First you see how far apart the dots are. if they are going UP like this / <---- it means its a positive correlation. if its like this \ <---- its a negative correlation. if its everywhere its a neutral (although they almost never do them in tests). To find out the strength is your opinion. If alot are grouped together almost making a line its a Strong correlation. Then you decide if its a Strong or Weak correlation depending on how close together the dots are. So put them together in a 1 mark question like::::it is a Strong Positive Correlation
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
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.
a scatter plot is a piece of data that shows you how to make a prediction
When you have a scatter graph and you want to find the correlation of it, you draw a line from one corner to the other of the grid.Also, if the categories are to do with the same thing, then it's a positive correlation.
No, it's not consider as a linear scatter plot, because, it's non-linear.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
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.
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 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
you graph the points going downwards
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no correlation.
Scatter-plot shows correlation between two different variables (one on the y-axis, the other on x-axis). If there is linear correlation, the scatter-points form a straight line from zero (origo) to some direction. The more cloud-like distribution the scatter-plot does have, the less those variables in question have correlation or dependence with each other.
because tristan likes hairy man nipples
It depends on the range of ages, but a moderate positive correlation.
The line that connects the dots is relatively straight.
A scatter plot plots two variables against each other, allowing the 'researcher' to easily see if there is a correlation between the dependant variable and the independant variable with relation to their data set.
The points are increasing from left to right. They are scattered but they are increasing non the less.