it is the line in the middle of the crosses
A scatter graph can be used to establish whether or not there is correlation and to get an approximate idea as to its strength. But no graph will actually measure correlation.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
Never. You can use a column graph, or a scatter graph or even a superimposition of the two but there a column scatter graph does not exist.
You cannot. Or rather, you should not. You do not know if the relationship is linear or something else. A scatter graph is the best way to establish the nature of the relationship. For example, the correlation between x and y, when y = x2 between, say, -4 and +4 is zero (because of symmetry). That would lead you to conclude that there was no relationship. You could not be more incorrect!
A line graph would be what you plot for a function. for example, y = X2. Plotting this will result in a continuous line.A scatter graph will result from measuring a population or an experiment.For example, if you plotted the weight vs height for your class members, you would have a scatter graph.
A scatter graph can be used to establish whether or not there is correlation and to get an approximate idea as to its strength. But no graph will actually measure correlation.
A scatter graph visually represents the correlation between two variables by displaying data points on a Cartesian plane. If the points trend upwards from left to right, it indicates a positive correlation; if they trend downwards, it shows a negative correlation. A scatter graph can also reveal no correlation if the points are scattered randomly without a discernible pattern. The strength and direction of the correlation can be assessed by the density and alignment of the points.
No Correlation
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
you graph the points going downwards
By finding a correlation trend by means of line of best fit.
That there is no correlation of the collected data.
To determine the type of correlation shown in a scatter graph, you would typically look at the pattern of the plotted points. If the points trend upwards from left to right, it indicates a positive correlation. Conversely, if the points trend downwards, it suggests a negative correlation. If the points are scattered without any discernible pattern, it indicates little to no correlation.
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 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.
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.
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.