Scatter graphs which axis

Are there outliers? No relationship Strong linear positive correlation Strong linear negative correlation Exact linear positive correlation Quadratic relationship Exponential relationship Sinusoidal relationship damped Variation of Y doesn't depend on X homoscedastic Variation of Y does depend on X heteroscedastic Outlier.

Scatter plots can also be combined in multiple plots per page to help understand higher-level structure in data sets with more than two variables. The scatterplot matrix generates all pairwise scatter plots on a single page. The conditioning plot , also called a co-plot or subset plot, generates scatter plots of Y versus X dependent on the value of a third variable. The scatter plot uncovers relationships in data.

Note, however, that even though causality implies association association does NOT imply causality. Scatter plots are a useful diagnostic tool for determining association, but if such association exists, the plot may or may not suggest an underlying cause-and-effect mechanism. There are 24 data points. Median lines are drawn so that 12 points fall on each side for both percent purity and ppm iron.

Then they look up the limit for N on the trend test table. Q is equal to the limit. Therefore, the pattern could have occurred from random chance, and no relationship is demonstrated. Scatter Diagram Example. You can also search articles , case studies , and publications for scatter diagram resources. Cart Total: Checkout. Learn About Quality. Magazines and Journals search. About Scatter Diagram.

Scatter Diagram Resources. Scatter Diagram Related Topics. What is a Scatter Diagram? Quality Glossary Definition: Scatter diagram Also called: scatter plot, X-Y graph The scatter diagram graphs pairs of numerical data, with one variable on each axis, to look for a relationship between them.

When to use a scatter diagram Scatter diagram procedure Scatter diagram example Scatter diagram considerations Scatter diagram resources When to Use a Scatter Diagram When you have paired numerical data When your dependent variable may have multiple values for each value of your independent variable When trying to determine whether the two variables are related, such as: When trying to identify potential root causes of problems After brainstorming causes and effects using a fishbone diagram to determine objectively whether a particular cause and effect are related When determining whether two effects that appear to be related both occur with the same cause When testing for autocorrelation before constructing a control chart Scatter Diagram Procedure Collect pairs of data where a relationship is suspected.

Draw a graph with the independent variable on the horizontal axis and the dependent variable on the vertical axis. For each pair of data, put a dot or a symbol where the x-axis value intersects the y-axis value. If two dots fall together, put them side by side, touching, so that you can see both.

Printable PDF k. X-Y plots, or scatter plots, can be used to see if one event affects another event. For example, if you spend more hours studying, will you get better grades? The following pages describe the different parts of an x-y plot. The title offers a short explanation of what is in your graph.

This helps the reader identify what they are about to look at. It can be creative or simple as long as it tells what is in the graph. The title of this graph tells the reader that the graph contains information about the difference in money spent on students of elementary and secondary schools from different countries. The legend tells what each point represents. Just like on a map, the legend helps the reader understand what they are looking at.