The Profiler displays profile traces (see Illustration of Traces) for each X variable. A profile trace is the predicted response as one variable is changed while the others are held constant at the current values. The Profiler recomputes the profiles and predicted responses (in real time) as you vary the value of an X variable.
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The vertical dotted line for each X variable shows its current value or current setting. If the variable is nominal, the xaxis identifies categories. See Interpreting the Profiles, for more details.

For each X variable, the value above the factor name is its current value. You change the current value by clicking in the graph or by dragging the dotted line where you want the new current value to be.
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The horizontal dotted line shows the current predicted value of each Y variable for the current values of the X variables.

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The black lines within the plots show how the predicted value changes when you change the current value of an individual X variable. In fitting platforms, the 95% confidence interval for the predicted values is shown by a dotted blue curve surrounding the prediction trace (for continuous variables) or the context of an error bar (for categorical variables).

The Profiler is a way of changing one variable at a time and looking at the effect on the predicted response.
The Profiler in some situations computes confidence intervals for each profiled column. If you have saved both a standard error formula and a prediction formula for the same column, the Profiler offers to use the standard errors to produce the confidence intervals rather than profiling them as a separate column.