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1.
Exploratory Data Analysis
1.3. EDA Techniques 1.3.3. Graphical Techniques: Alphabetic
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Purpose: Detect changes in linear intercepts between groups |
Linear intercept plots are used to graphically assess whether
or not linear fits are consistent across groups. That is,
if your data has groups, you may want to know if a single
fit can be used across all the groups or whether the
separate fits are required for each group.
Linear intercept plots are typically used in conjunction with linear slope and linear residual standard deviation plots. In some cases, you might not have groups. Instead you have different data sets and you want to know if the same fit can be adequately applied to each of the data sets. In this case, simply think of each distinct data set as a group and apply the linear intercept plot as for groups. |
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| Sample Plot |
This linear intercept plot shows that there is a shift in intercepts. Specifically, the first 3 intercepts are significiantly lower than the other groups. |
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Definition: Group intercepts versus group id |
Linear intercept plots are formed by:
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| Questions |
The linear intercept plot can be used to answer the
following questions.
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Importance: Checking group homogeneity |
For grouped data, it may be important to know whether the different groups are homogeneous (i.e., similar) or heterogeneous (i.e., different). Linear intercept plots help answer this question in the context of linear fitting. | ||
| Related Techniques |
Linear Correlation Plot Linear Slope Plot Linear Residual Standard Deviation Plot Linear Fitting |
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| Case Study | The linear intercept plot is demonstrated in the Alaska pipline data case study. | ||
| Software | Most general purpose statistical software programs do not support a linear intercept plot. However, if the statistical program can generate linear fits over a group, it should be feasible to write a macro to generate this plot. Dataplot supports a linear intercept plot. | ||