The points are increasing from left to right. They are scattered but they are increasing non the less.
The line that connects the dots is relatively straight.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
You can describe if there's any obvious correlation (like a positive or negative correlation), apparent outliers, and the corrlation coefficient, which is the "r" on your calculator when you do a regression model. The closer "r" is to either -1 or 1, the stronger that correlation is.
because tristan likes hairy man nipples
You can look at the r value and tell from there. Also you can try to see if there is a linear assocation and if its tightly centered or loosely centered.
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?
The line that connects the dots is relatively straight.
It depends on the range of ages, but a moderate positive correlation.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
The values of the range also tend to increase.
None.
A scatter plot that shows no correlation displays points that are randomly distributed without any discernible pattern, indicating that there is no relationship between the two variables. In contrast, a scatter plot that shows a negative correlation features points that trend downward from left to right, suggesting that as one variable increases, the other tends to decrease. The absence of a clear trend in a no-correlation plot contrasts with the consistent directional relationship observed in a negative correlation plot.
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.
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 shows a correlation when there is a discernible pattern in the distribution of data points, indicating a relationship between the two variables. If the points trend upward from left to right, it suggests a positive correlation, while a downward trend indicates a negative correlation. The strength of the correlation can be assessed by how closely the points cluster around a line or curve. If there is no apparent pattern, the variables are likely not correlated.
A scatter plot is the best graph to show correlation between two variables. In a scatter plot, individual data points are plotted on a Cartesian plane, allowing for a visual representation of the relationship between the variables. If the points tend to cluster along a line, it indicates a strong correlation, whether positive or negative. The closer the points are to forming a straight line, the stronger the correlation.