![]() That is, as you move right, the X-value increases, while the Y-value decreases.įinally, if there are no scatter diagram patterns (or relationships) between the coordinates, then there are zero relationships in the data observed. If you observe a downhill pattern by moving from left to right, it implies a negative relationship between the X and Y coordinates. That is, as the value in the X-axis increases, the value in the Y-axis also increases. If there is an uphill pattern as you observe the trends from left to right, it implies a positive relationship between the two coordinates (X and Y coordinates). While interpreting a scatter plot, you can look for trends by moving from left to right. Ideally, a point (or dot) is placed at the intercession of these two coordinates, and the dot (or point) represents the observation. The first piece of data usually falls on the X coordinate, while the second piece of data usually falls on the Y coordinate. Typically, the second piece of data is found by moving up or down. The first coordinate represents a piece of data – the data obtained by moving left or right, while the second coordinate represents the second piece of data. Here is an easy way of interpreting scatter analysis.Ī scatter plot is made of observations (or points), and each point has two coordinates. The problem lies in interpreting this data. ![]() There are trends in every market, and most times, statistical data are used in representing these trends – and that’s where scatterplots come into play. ![]() How to interpret data analysis on scatter chart? Scatter analysis is not all rosy – you would encounter some issues, and here are common issues you would likely encounter while using scatter plots. While using discrete data, you should quantify it by representing it with numbers (let’s say 1 – 10). Some marketers prefer using continuous data on one axis of a scatter plot, while discrete data is used on the other axis. Unlike discrete data where you get to have a pass/fail measurement, continuous data is used to measure an infinite set of data. Generally, continuous data are represented on scatter analysis. Kind of Data That can be Represented on a Scatter Plot
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